Engineering Manager | Growth and Transformation

🏢 Summary: Hybrid Software Engineer role focused on building and operating financial services web platforms using Next.js within high-availability, multi-cloud Kubernetes environments. The position emphasizes AI-assisted development, automation, and agentic workflows to enhance engineering delivery and operational excellence. Engineers collaborate cross-functionally while contributing to SRE practices and cloud-native infrastructure. 🗂️ Requirements: 3–5 years of software engineering experience, Proficiency in JavaScript and TypeScript, Strong experience with React and Node.js, Hands-on experience with Next.js, Production experience with Kubernetes, Experience with multi-cloud environments (AWS, GCP, or Azure), Understanding of RESTful APIs and microservices architecture, Experience with server-side rendering, Experience with testing (unit, integration, end-to-end), Experience with CI/CD pipelines, Experience building automation or internal tooling, Proficiency with AI-assisted development tools, Ability to work hybrid in Charlotte, NC or New York, NY, Authorization to work in the U.S. without visa sponsorship 📃 Skills: JavaScript, TypeScript, React, Node.js, Next.js, Kubernetes, AWS, GCP, Azure, REST, Microservices, CI/CD, Harness, GitHubActions, GitHubCopilot, Cursor, Claude, SQL, NoSQL, GoogleAnalytics, Mixpanel 🏢 Description: This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp. This role requires a hybrid schedule and will be based in our South Charlotte, NC or New York, NY office (Tuesday through Thursday) and optional remote days on Mondays and Fridays each week. Red Ventures is looking for a Software Engineer to join our Banking Client Services organization. You’ll build and operate financial services web platforms for our banking partners using Next.js, hosted in high-availability multi-cloud Kubernetes environments. You’ll do it within a team that treats AI and automation as fundamental to how modern software gets built. Our engineering group is AI-forward. We’ve integrated agentic workflows and automation into coding, ticket management, compliance, and cross-functional problem-solving and we expect every engineer to actively contribute to that momentum. You’ll use AI-assisted tools daily, build automation that makes the team faster, and partner with business and data science teams to apply AI to real problems. This is an IC engineering role reporting to an Engineering Manager with a clear path for growth as our client partnerships expand. Curious how Growth and Transformation fits into Red Ventures? Click here. What You’ll Do: Engineering Delivery Build and maintain financial services web platforms using Next.js (React, TypeScript) with a focus on performance, reliability, and partner-grade quality. Deploy and operate applications in high-availability, multi-cloud Kubernetes environments, contributing to infrastructure-as-code, CI/CD pipelines, and deployment automation. Contribute to SRE practices: observability, alerting, incident response, and operational maturity for client-facing web properties. Write well-tested, reviewable code and actively participate in code reviews, advocating for quality across the team. Collaborate with designers, business stakeholders, and data science partners to deliver solutions that strengthen client trust. AI & Automation Build and maintain agentic workflows and automation that improve engineering delivery, spanning coding assistance, ticket management, compliance processes, and operational tasks. Use AI-assisted development tools (IDE integrations, CLI agents, code review automation) as a core part of your daily workflow to accelerate output and improve quality. Partner with business and data science teams to identify automation opportunities and build AI-driven solutions to operational and client-facing problems. Evaluate emerging AI/ML tooling for software development and recommend adoption where it reduces toil or improves outcomes. Develop internal tooling and developer experience improvements that help engineers across teams move faster. What We’re Looking For: Software Engineering (3–5 Years Experience) Strong proficiency in JavaScript/TypeScript, React, and Node.js. Hands-on experience with Next.js is strongly preferred. Experience deploying and operating applications on Kubernetes in production environments. Familiarity with multi-cloud architectures (AWS, GCP, or Azure) is a plus. Solid understanding of web application architecture: client-server models, RESTful APIs, microservices, and server-side rendering. Demonstrated emphasis on code quality: testing strategies (unit, integration, end-to-end), code review practices, and engineering best practices. Experience with CI/CD pipelines and deployment tooling (e.g., Harness, GitHub Actions). Familiarity with Agile/Scrum methodologies and iterative delivery within sprint-based workflows. AI Fluency & Automation Demonstrated experience building automation, internal tooling, or agentic workflows. Proficiency with AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, or similar IDE and CLI integrations. A builder’s mindset: you actively look for opportunities to automate repetitive work, streamline processes, and apply AI to engineering problems. Willingness to experiment with emerging AI capabilities and drive adoption through working examples and documentation. Collaboration & Communication Clear written and verbal communication skills. Ability to explain technical decisions to peers and cross-functional partners. Comfort working across functions, you’ll collaborate regularly with data science, business, and design teams. A collaborative, team-first approach. You contribute to a psychologically safe environment and share knowledge freely. Nice to Have: Familiarity with web analytics tools (e.g., Google Analytics, Mixpanel) and using data to inform engineering decisions. Experience with databases (SQL and/or NoSQL) and their integration with web applications. Understanding of container orchestration and cloud-native tooling beyond Kubernetes basics. Compensation: This range reflects total cash compensation, which may include base salary only or base salary plus target bonus, depending on the role. Where eligible, equity may also be offered separately and not included below. Actual compensation varies based on location, experience, and qualifications. Total Cash Compensation Range: Charlotte, NC Hybrid Compensation Range: $80,000 – $140,000 per year New York, NY Hybrid Compensation Range: $100,000 – $175,000 Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. Health Insurance Coverage (medical, dental, and vision) Life Insurance Short and Long-Term Disability Insurance Flexible Spending Accounts Holiday Pay 401(k) with match Employee Assistance Program Paid Parental Bonding Benefit Program Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service. Who We Are: Red Ventures is a global portfolio of high-growth companies — spanning several U.S. businesses, a joint venture in the health services industry, and strategic investments in Europe. Their businesses include The Points Guy, Lonely Planet, Bankrate, the Allconnect Platform, RV Home Client Growth, RV Growth & Transformation, Sage Home Loans Corporation, and more. Across the portfolio, Red Ventures businesses deliver seamless digital experiences for consumers, help Fortune 100 clients solve large-scale digital growth challenges, and create world-class experiences and opportunities for employees. Learn more at redventures.com and follow @RedVentures on LinkedIn and Instagram. At Red Ventures, we believe diverse, inclusive teams are better. To help you better understand our core values and beliefs, we encourage you to watch this brief YouTube video: Our Belief Statements. This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment. We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com. If you are based in California, we encourage you to read this important information for California residents linked here. #LI-KS1 #LI-HYBRIDClick here for more details regarding the employee privacy policy: https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to employeerights@redventures.com. Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

🏢 Summary: Analytics Engineer role focused on building scalable healthcare data products and analytics-ready models for PBM and care navigation operations using dbt, SQL, and cloud data platforms. The position involves developing reliable data pipelines, implementing data quality frameworks, and enabling self-service and AI-assisted analytics capabilities. Candidates will collaborate across technical and business teams to create maintainable, auditable, and high-performance data solutions. 🗂️ Requirements: 3+ years experience in analytics engineering, data modeling, data warehousing or related field, Strong experience with dbt, Advanced SQL proficiency, Experience developing data transformations and workflows using Python, Understanding of dimensional modeling and scalable data architecture, Experience building production-grade data models and data quality tests, Experience with cloud data warehouses, Experience orchestrating and monitoring data pipelines, Experience working in cloud environments, Familiarity with Git and CI/CD workflows, Knowledge of testing and deployment workflows, Strong problem-solving and analytical skills, Effective communication and collaboration skills 📃 Skills: dbt, SQL, Python, Redshift, Snowflake, BigQuery, Airflow, Dagster, AWS, Git, CI/CD, MCP, Claude 🏢 Description: ABOUT THE ROLE: We are seeking an Analytics Engineer to join our Analytics Platform team to design, build and maintain scalable data products that power our Pharmacy Benefit Management (PBM) and Care Navigation organizations. In this role, you will be responsible for transforming complex healthcare data into trusted, analytics ready datasets that support operational reporting, client insights, financial analysis and strategic decision-making. You will partner closely with Analytics, Data Engineering, Clinical, Client Success, Product and Operations teams to build reliable and scalable data models within our data foundry. This role is ideal for someone who is passionate about analytics engineering, has strong dbt expertise, enjoys solving complex healthcare data challenges and thinks beyond individual requests to build reusable and maintainable systems. You will play a key role in shaping the future of our data platform by developing high-quality data products, establishing engineering best practices, and helping the organization evolve toward AI-enabled and self-service analytics capabilities. WHAT YOU'LL DO: • Apply hands on analytics and data expertise to solve complex, fast moving financial and operational problems in the health tech space • Design, develop and maintain scalable, analytics ready data models (primarily in dbt) that power a PBM and care navigation data ecosystem that support client reporting, performance analytics, operational analysis and self-service business intelligence • Translate complex pharmacy benefits and healthcare navigation workflows, business rules and operational processes into transparent, maintainable, and auditable data models • Partner closely with data and analytics engineers, data analysts and business stakeholders to deliver reliable data products that can be leveraged across multiple use cases and continuously optimize data models and warehouse performance to support large-scale PBM/care navigation datasets and growing business needs • Implement automated data quality checks, testing frameworks and reconciliation processes to ensure data reliability • Establish documentation standards, lineage and analytics engineering guardrails that promote transparency and auditability • Contribute to engineering best practices including version control, CI/CD, incremental models, code reviews, and observability • Contribute to data governance by establishing modeling standards, documentation and guardrails that support auditability, explainability and long term maintainability • Build data foundations that enable future agentic analytics engineering use cases, including self-service analytics and AI-assisted insight generation • Stay informed on emerging technologies and identify opportunities to incorporate AI into analytics engineering workflows WHO YOU ARE: • 3+ years of experience in analytics engineering, data modeling, data warehousing or a related field • Strong experience with dbt and modern analytics engineering best practices (required) • Advanced SQL proficiency and experience developing data transformations and workflows using Python • Strong understanding of dimensional modeling, medallion architecture, semantic modeling and scalable data architecture principles • Experience building and maintaining production-grade data models, data quality tests, and documentation • Experience working with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery • Experience orchestrating and monitoring data pipelines using tools such as Apache Airflow, Dagster etc. • Experience working within cloud environments, preferably AWS • Familiarity with software engineering practices including Git, CI/CD, pull request reviews, testing, and deployment workflows • Interest or experience in leveraging AI-enabled development workflows and analytics tooling, including experience with or willingness to learn technologies such as Claude, Claude Skills, Model Context Protocol (MCP) and AI assisted engineering practices • Strong problem-solving and analytical skills with a focus on building scalable, maintainable data solutions • Effective communication skills and the ability to collaborate with both technical and non-technical stakeholders COMPENSATION: $100,000 - $140,000 annually, in addition to bonus and equity. Compensation offered will be determined by geographic location, experience, and qualifications.

🏢 Summary: Technical role supporting AI and DevOps platforms, focused on ensuring stability, reliability, and performance of critical services across the organization. The position involves incident management, platform resilience, automation, and observability in collaboration with SRE, engineering, and support teams. The engineer contributes to operational excellence, platform enhancements, and continuous improvement of cloud-native environments. 🗂️ Requirements: 6-8 years experience in technical support, platform operations, or engineering, Experience supporting IT services, infrastructure, or platform operations, Hands-on experience with incident management and root cause analysis, Experience with cloud-native platforms and container orchestration, Experience with CI/CD pipelines and DevOps practices, Experience with monitoring and observability tools, Knowledge of databases such as Postgres or MongoDB, Programming or scripting experience in Java, Python, or Go, Understanding of architecture concepts and system design, Experience with resilience testing and disaster recovery activities 📃 Skills: OpenShift, Kubernetes, ECS, CI/CD, Prometheus, Grafana, Splunk, Postgres, MongoDB, Java, Python, Go, AI, DevOps, SRE 🏢 Description: Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries, operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning, and flexibility with potential hybrid work opportunities. Help solve real‑world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. We are seeking a motivated team member to support our AI and DevOps Platform Support team in North America. This role is responsible for assisting in the stability, reliability, and performance of our critical AI and DevOps platforms. The team supports a wide range of services, including multiple AI applications, developer tools, and CI/CD pipeline technologies used across the organization. The ideal candidate will work closely with SRE and Support engineers to resolve incidents, address platform issues, and collaborate with engineering and development teams to enhance platform supportability. The role includes coordinating daily operational activities and contributing to short‑term planning. Responsibilities: Collaborative Application Support: Provides application support by partnering with vendors, offshore managed services, and internal development and engineering teams to ensure platform stability and operational readiness. Service Level Improvement: Actively supports efforts to improve service levels by participating in incident management, problem resolution (RCA), and knowledge-sharing initiatives. Platform Resilience and Testing: Assists in resilience-related activities, including incident simulations, disaster recovery exercises, and platform readiness testing to ensure business continuity. Automation and Efficiency: Supports automation efforts designed to reduce manual tasks, improve operational efficiency, and contribute to cost-saving initiatives. Monitoring and Observability: Helps maintain platform health by supporting observability practices, including monitoring, logging, tracing, and alerting for proactive issue identification. Platform Onboarding and Enhancement: Assists with application onboarding activities and contributes to platform enhancement initiatives in partnership with engineering and support leads. Data Collection for Planning: Helps collect and track capacity, performance, and latency data to support platform planning efforts and prepare materials for business review meetings. Troubleshooting and Incident Response: Maintains a practical understanding of platform components (like OpenShift, ECS, CI/CD) to effectively support troubleshooting and incident response activities. Qualifications: Experience: 6-8 years of relevant experience in technical support, platform operations, or engineering. Core Expertise: Demonstrated experience supporting IT services, platform operations, or infrastructure, with participation in resilience and stability-focused activities. Architectural Acumen: Exposure to architecture concepts with the ability to contribute to technical discussions and understand design decisions. Collaboration and Communication: Strong communication skills and a proven ability to collaborate effectively with business partners, engineering teams, and other cross-functional stakeholders. Cloud-Native & DevOps Tooling (Preferred): Experience with Red Hat OpenShift/Kubernetes, CI/CD tools, and modern observability/monitoring tools (e.g., Prometheus, Grafana, Splunk). Database & Scripting Skills (Preferred): Experience with databases (e.g., Postgres, MongoDB) and scripting or coding abilities in languages like Java, Python, or Go. Organizational Skills: Strong organizational skills with the ability to manage a daily workload and effectively prioritize tasks. Generative AI Knowledge (Preferred): A working knowledge of Generative AI concepts. What we can offer you: By joining Citi Solutions Center Poland, you will not only be part of a business casual workplace with a hybrid working model (currently up to 2 days working at home per week), but also (potentially, subject to final offer) receive a competitive base salary and enjoy a whole host of additional benefits which can include: Employer paid Defined Contribution Pension Plan contribution of 6% of employee’s pensionable earnings (PPE Program) Employer paid Private Medical Care Package for employees and Private Medical Care Packages for certain family members available at preferential rates Employer paid Life Insurance Program for employees and Life Insurance for certain family members available at preferential rates Employee Assistance Program financed by Employer Paid Parental Leave Program (maternity and paternity leave; statutory and 2 weeks additional paid paternity leave) Sport Card for employees subsidized via Social Benefits Fund and Sport Cards for certain family members available at preferential rates Additional benefits from Company’s Social Benefit Fund, in particular: Holidays Allowance, support for sport and cultural activities, team building events. Additional day off for volunteering Cafeteria/ flex benefit – a company benefits system which enables employees to select and purchase benefits offered by a provider and available for employees on the platform. Opportunity to receive an annual discretionary incentive award Special offers and discounts for employees Copy and paste the URL below into a new tab on your web browser to view the Remuneration Regulations extract: https://tbcdn.talentbrew.com/company/287/cms/v3/docs/policies/RemunerationRegulations-KeyProvisions-CitibankEurope_plc_05012025_A.pdf Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive. Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities. #LI-KK1 ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Support ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location Full Time Salary Range: 165 020,00 zł - 280 980,00 zł ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. ------------------------------------------------------ This job opening is for an existing job vacancy. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.

🏢 Summary: Hands-on Head of Software Engineering role responsible for leading full-stack architecture, development, and delivery of a consumer lending platform across Angular, Java/Spring Boot microservices, and AWS. The position combines technical leadership, system architecture ownership, and team management in a high-availability, regulated fintech environment. The role requires driving architectural simplification, CI/CD maturity, and adoption of AI-assisted development practices. 🗂️ Requirements: 10+ years of software engineering experience, 5+ years in senior engineering leadership role, Strong Java and Spring Boot experience, Experience with Angular or modern front-end frameworks, Experience designing microservices and REST APIs, Experience with relational databases, Hands-on AWS infrastructure experience (EC2, S3, SQS, CloudWatch, CodeBuild), Ownership of CI/CD pipelines in production environments, Experience with high-availability distributed systems, Experience conducting architecture and code reviews, Experience simplifying complex architectures, Bachelor’s degree in Computer Science or related field, Residence in Texas within commuting distance to DFW, Authorization to work in the United States 📃 Skills: Java, Spring, SpringBoot, Angular, AWS, EC2, S3, SQS, CloudWatch, CodeBuild, REST, Microservices, MVC, SQL, CI/CD, GitHub, Bitbucket, AI, Copilot, LLM 🏢 Description: Title: Head of Software Engineering Function: Technology Reports to: Chief Growth & Strategy Officer Level: Director Location: Addison, TX (4 days/week in-office required) Please note: This position is open to candidates within commuting distance to the DFW metro area only. Applicants must reside in Texas and be authorized to work in the United States. Applications from candidates outside of Texas will not be considered at this time. While we appreciate interest from all applicants, Braviant Holdings is unable to sponsor visas at this time. WHO WE ARE Founded in 2015 and based in Chicago, IL, privately held Braviant Holdings, LLC is a leading provider of tech-enabled consumer credit products that combine breakthrough technology and cutting-edge machine learning to transform how people access credit online. Our next-generation approach to lending reduces credit barriers and creates a Path to Prime® — helping millions of underbanked consumers build credit history, reduce their cost of borrowing, and take control of their personal finances. Braviant has been named multiple times to the Inc. 5000 list of fastest growing private companies and has been recognized as a Best Place to Work. We are a lean team of approximately 40 people who move fast and hold ourselves accountable for real outcomes. Everyone here rolls up their sleeves — including this role.POSITION SUMMARY Braviant is looking for a hands-on engineering leader to own our full-stack application development function. You will serve as both the primary software architect and the engineering manager for a team of 6–8 full-stack developers and QA engineers, responsible for our consumer lending platform across its full lifecycle — from front-end Angular interfaces to back-end Java/Spring Boot services to cloud infrastructure on AWS. This is not a purely managerial role. We expect you to stay deeply technical: conducting architecture and code reviews, prototyping solutions, and being the person the team turns to when the hardest problems surface. You will bring the judgment to assess our current architecture — a complex, 30+ microservice environment — and develop and execute a pragmatic plan to simplify it and reduce release friction over time. This role is Addison, TX-based with a 4-day in-office requirement. The team is currently based primarily in Chicago and it might require up to 20% of travel initially. You will be the on-the-ground engineering leader helping establish the engineering culture. WHAT YOU’LL OWN Architecture & Technical Leadership Serve as Braviant’s primary software architect — owning system design, technology choices, and engineering standards across all application layers. Assess the current architecture (30+ microservices, Java/Spring Boot back end, Angular front end, AWS) and develop a pragmatic rationalization roadmap to reduce complexity and improve deployability. Stay close to the codebase: lead architecture reviews, conduct meaningful code reviews, and prototype solutions to de-risk key technical decisions. Own high-availability design for loan origination, payment processing, and transaction workflows, targeting 99.9%+ uptime SLAs. Define and evolve CI/CD pipeline strategy, release practices, and engineering quality standards. AI-Native Development Transformation Lead the transition to an AI-native development model — embedding AI-assisted development tools (e.g. GitHub Copilot, Cursor, agentic coding frameworks) into how the team designs, builds, tests, and ships software every day. Partner with the Head of AI & Automation to identify where AI-generated code, automated testing, and LLM-powered tooling can meaningfully accelerate delivery and reduce QA burden. Champion engineering practices that make AI tooling safe and auditable in a regulated consumer lending environment. Engineering Delivery Own end-to-end software development for consumer-facing and internal applications — from requirements through deployment and support. Manage the full stack: Angular front end, Java/Spring Boot microservices, AWS infrastructure (EC2, S3, SQS, CloudWatch, CodeBuild), and database layers. Own the QA function within the engineering team; define the right balance of automated testing, manual QA, and release gates. Champion security-by-design and compliance standards appropriate to a consumer lending environment (PCI, state lending regulations, CFPB-related requirements). Team Leadership & Culture Lead, develop, and retain a team of 6–8 full-stack engineers and QA professionals; set performance standards, provide mentorship, and build a culture of craftsmanship and accountability. Hire and grow the Addison-based engineering team — you will be the anchor for that office’s technical culture. Manage the engineering budget, including capex/opex planning, vendor relationships, and tooling decisions. Partner with business stakeholders and executive leadership to translate product and operational priorities into engineering plans; represent engineering at the leadership level. WHAT YOU’LL BRING Required 10+ years of software engineering experience, including at least 5 years in a senior engineering leadership role (Director, Head of Engineering, or equivalent). Deep full-stack background: strong Java/Spring Boot on the back end, experience with Angular or equivalent modern front-end frameworks, and solid command of relational databases and API design (REST, microservices, MVC). Proven software architect — you have designed production systems, made technology bets that paid off, and course-corrected ones that didn’t. Experience rationalizing or simplifying over-engineered architectures: you can diagnose why a system became complex, build stakeholder alignment around a simplification plan, and execute it without breaking production. AWS cloud infrastructure ownership: EC2, S3, SQS, CloudWatch, CodeBuild, and related services — configuration, architecture, and operations. CI/CD pipeline ownership at production scale; strong branching, review, and release practices using GitHub, Bitbucket, or equivalent. Experience with high-availability, distributed systems in a real-time transaction processing environment. Engineering budget ownership: capex/opex planning, vendor management, and resource allocation. Demonstrated ability to hire, develop, and retain engineering talent in a competitive market. Comfortable in a lean, startup-style environment with heavy workloads, competing priorities, and ambiguity — this is not a role for someone who needs a large support structure. Bachelor’s degree in Computer Science or a related field; Master’s a plus. Preferred Hands-on experience building with AI-native development tools or frameworks (GitHub Copilot, Cursor, agentic coding pipelines, LLM-assisted test generation). Experience in consumer lending, fintech, payments, or another regulated financial services technology environment. Familiarity with MCP integrations, agentic AI architectures, or building internal developer productivity platforms. Formal software architecture or cloud certification (e.g., AWS Solutions Architect). BENEFITS & PERKS Compensation at Braviant is competitive and commensurate with experience. Details will be discussed with qualified candidates during the interview process. In addition, we provide: Comprehensive healthcare including medical, dental, and vision coverage Generous paid time off, including PTO, sick time, and 13 company holidays 401(k) with company contribution Participation in annual discretionary bonus plan Regular team and company gatherings Braviant is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, or any other characteristic protected by applicable law.

🏢 Summary: Customer Engineer, AI Solutions role focused on leading technical sales engagements and end-to-end implementations of an AI software platform for healthcare practices. The position bridges Sales, Customer Success, Product, and Engineering to secure technical wins, drive customer adoption, and influence product roadmap decisions. It involves solution design, integrations, implementation, and ongoing technical advisory in a fast-paced startup environment. 🗂️ Requirements: 5+ years in Solutions Engineering, Sales Engineering, Solutions Consulting, Technical Consulting, Professional Services, Implementation, or Customer Engineering in high-growth tech companies, Experience leading SaaS or enterprise software implementations from discovery to production launch, Proven experience partnering with Sales to win new business and Customer Success to expand accounts, Strong technical aptitude and ability to explain complex software concepts to non-technical stakeholders, Experience in high-velocity SMB and/or mid-market environments, Cross-functional collaboration with Product, Engineering, Product Marketing, Sales, and Customer Success, Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience), Experience with healthcare software, workflows, EMRs/EHRs, or healthcare integrations (preferred) 📃 Skills: SaaS, AI, EMR, EHR, Integrations, APIs, EnterpriseSoftware, Implementation, SolutionDesign, TechnicalDiscovery, ProductDemos, ProofOfConcept, Testing, WorkflowAutomation 🏢 Description: Who we are: Nitra's mission is to build a more efficient healthcare system and the technology that makes it possible. Our goal is to provide an ecosystem of fintech and software solutions that help doctors better manage their practices, so they can have time back to focus on what matters to them most. We operate with urgency, intensity, and ambition. The bar is high because the opportunity is massive. We expect excellence, ownership, and intellectual rigor from every team member. We move fast, make bold decisions, and hold ourselves accountable to results. At the same time, we believe great companies are built on trust and respect. Every voice matters. Every contribution counts. When we win, we win together. We are scaling rapidly and on a clear trajectory toward becoming a unicorn this year — and beyond. Our growth is not accidental; it’s the result of disciplined execution, relentless focus, and a team that refuses to settle. We are building a category-defining company, and we’re looking for people who want to do the most meaningful work of their careers. If you want comfort, this isn’t the place. If you want impact, ownership, and the chance to help build a generational fintech company, welcome. Nitra maintains a hybrid work policy, with team members working from the office four days per week and Wednesdays designated as a work-from-home day. What we're looking for: We are looking for a highly technical, customer-focused Customer Engineer, AI Solutions to help scale one of Nitra's fastest-growing businesses. This role sits at the intersection of Sales, Customer Success, Product, and Engineering and will be responsible for helping healthcare practices successfully evaluate, implement, adopt, and expand Nitra's AI software platform. This is a highly cross-functional role with three core responsibilities. First, you'll partner with Sales and Customer Success to secure the technical win for both new customer acquisitions and cross-sell opportunities. Second, you'll own successful customer implementations, ensuring customers quickly realize value from our AI platform. Third, you'll serve as the voice of the customer by working closely with Product, Product Marketing, and Engineering to influence roadmap decisions and continuously improve the customer experience. The ideal candidate combines strong technical aptitude with exceptional customer-facing skills. You enjoy solving complex customer problems, translating technical capabilities into business value, and building repeatable implementation processes that scale. If you're excited about AI, healthcare technology, and working in a fast-paced startup environment, we'd love to meet you. Your responsibilities will include: - Partner with Sales and Customer Success throughout the sales cycle by leading technical discovery, solution design, product demonstrations, proof-of-concepts, technical evaluations, and implementation planning. - Serve as the technical expert during customer engagements, helping healthcare organizations understand how Nitra's AI platform can automate workflows and improve operational efficiency. - Lead customer implementations from kickoff through production launch, including solution configuration, integrations, testing, training, validation, and go-live support. - Drive customer adoption by helping practices implement best practices, optimize workflows, and maximize long-term value from Nitra's AI software. - Partner closely with Product, Product Marketing, and Engineering to prioritize customer feedback, influence product roadmap decisions, and improve the customer experience. - Build scalable implementation methodologies, technical documentation, playbooks, demo environments, onboarding guides, and best practices that improve deployment quality and reduce time-to-value. - Troubleshoot technical issues and collaborate with Engineering to resolve complex customer challenges. - Measure and optimize implementation performance, technical win rates, customer adoption, customer satisfaction, and implementation quality. - Act as a trusted technical advisor throughout the customer lifecycle while identifying opportunities for expansion and additional product adoption. You have: - 5+ years of experience in Solutions Engineering, Sales Engineering, Solutions Consulting, Technical Consulting, Professional Services, Implementation, or Customer Engineering within high-growth technology companies. - Proven success partnering with Sales organizations to win new business and Customer Success teams to expand existing customer relationships. - Experience leading SaaS or enterprise software implementations from technical discovery through production launch. - Strong technical aptitude with the ability to simplify complex software concepts for physicians, practice administrators, and business stakeholders. - Experience supporting high-velocity SMB and/or mid-market customer environments. - Experience working cross-functionally with Product, Engineering, Product Marketing, Sales, and Customer Success. - Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent technical experience. - Excellent communication, presentation, and executive-facing consulting skills. - High energy, strong executive presence, and the ability to influence without direct authority. - Builder mindset with the ability to thrive in ambiguity and rapidly evolving startup environments. - Experience with healthcare software, healthcare workflows, EMRs/EHRs, or healthcare integrations is strongly preferred. - Experience working in VC-backed Series B-D technology companies is strongly preferred. What we offer: - Equity - Everyone at Nitra is an owner. When the company wins, you win. - Competitive Salary - Your salary will reflect your experience and reward your contributions. - Health Care - Comprehensive health, vision, and dental insurance options. - Retirement Benefits - Generous employer 401K match. - Hybrid work policy with four days in office and Wednesdays work-from-home.

🏢 Summary: Leadership role managing a team of Solutions Engineers in a B2B SaaS analytics environment, driving technical pre-sales strategy and customer success. Combines people management, deep data analytics expertise, and cross-functional collaboration to support complex sales cycles and product adoption. Responsible for coaching the team, optimizing technical sales processes, and ensuring successful implementation of analytics solutions. 🗂️ Requirements: 3+ years managing technical pre-sales, solutions engineering, or professional services teams, Experience in B2B SaaS environment, Deep knowledge of data and analytics products implementation, Experience working on complex technical sales cycles, Ability to communicate complex technical concepts to technical and non-technical stakeholders, Experience collaborating with Sales, Product, and Engineering teams, Hands-on experience with product analytics or modern data stack tools 📃 Skills: SaaS, Analytics, CDP, Datawarehousing, Snowflake, BigQuery, Segment, Hightouch, Mixpanel, Amplitude, Pendo, Contentsquare 🏢 Description: About Mixpanel Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence. Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust. Visit mixpanel.com to learn more.About the Role As a Manager on the Solutions Engineering team at Mixpanel, you will lead a talented group of analytics consultants who are pivotal to our success. You will be at the forefront of driving customer value, guiding your team as they serve as the primary technical resources for our Sales organization. This role is a unique blend of leadership, technical expertise, and business strategy. You will be responsible for coaching and developing your team, refining our technical sales processes, and collaborating across departments to ensure our customers achieve their business outcomes with Mixpanel. You will also play a key role in hiring, onboarding, and managing the next wave of Solutions Engineers. By fostering a culture of excellence and deep customer empathy, you will empower your team to architect innovative solutions, drive product adoption, and ultimately secure the technical win with prospects and customers. Responsibilities Develop & Mentor: Lead, coach, and grow a high-performing and inclusive team of Solutions Engineers, actively investing in their career development and upholding a high standard of performance. Drive Results: Partner closely with Sales leadership and Account Executives to provide technical expertise that drives new, retained, and expansion ARR. You will ensure your team's activities are directly contributing to the company's bottom line. Prioritize & Problem Solve: Guide your team through complex customer evaluations and technical challenges. You will manage team resources effectively, aligning the right skills to customer needs to achieve productivity targets and successful outcomes. Cross-Functional Partnership: Act as a key technical liaison, collaborating with peer managers across Sales, Product, and Engineering. You will gather and synthesize customer feedback from your team to influence product strategy and solve problems at scale. Communicate & Manage Change: Effectively translate broader company and departmental strategy into clear, actionable goals for your team. You will guide your direct reports through evolving business priorities with empathy and clarity. Hire the Best: Actively assess the needs of the team, build a pipeline of top talent, and hire outstanding individuals who elevate the team's capabilities and contribute to our inclusive culture. Innovate & Raise the Bar: Relentlessly seek to improve how your team operates, from refining demo strategies and proof-of-concept methodologies to adopting new tools and processes that increase effectiveness and celebrate success. We’re Looking For Someone Who Has progressive experience in a B2B SaaS environment, including 3+ years of people management experience leading a technical pre-sales, solutions engineering, or professional services team. Exhibits a "player-coach" mentality with deep knowledge in the data and analytics space. You are an expert on how data products (like CDPs, data warehouses, and analytics tools) are implemented and adopted by customers. Is a proven cross-functional partner with a track record of successfully working with sales teams to navigate complex deals and drive revenue. Demonstrates expertise in communicating complex technical concepts clearly and effectively to both technical and non-technical stakeholders. Is skilled at prioritizing team activities and managing workload in a dynamic environment, balancing customer needs with efficiency goals. Is a natural mentor and developer of talent, with a passion for coaching and a history of building inclusive, high-achieving teams. Handles ambiguity with ease, demonstrating flexibility and a proactive, problem-solving mindset when adapting to new challenges and business priorities. Actively seeks feedback and is humble to learn, consistently looking for ways to improve themselves and their team. Bonus Points Previous experience in management consulting, strategic operations, or a similar role focused on go-to-market strategy. Direct, hands-on experience with Mixpanel or other product analytics tools like Amplitude, Pendo, or Contentsquare. Strong familiarity with the modern data stack, including tools like Snowflake, Google BigQuery, Segment, or Hightouch. #LI-HybridCompensation The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage. You can view our benefits offerings here.Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information.Mixpanel Compensation Range$238,300—$321,705 USDBenefits and Perks Comprehensive Medical, Vision, and Dental Care Mental Wellness Benefit Generous Vacation Policy & Additional Company Holidays Enhanced Parental Leave Volunteer Time Off Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break *please note that benefits and perks for contract positions will vary* Culture Values Make Bold Bets: We choose courageous action over comfortable progress. Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes. One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone. Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations. Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star. Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible. Why choose Mixpanel? We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital. Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics. Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service. Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions. Mixpanel is an equal opportunity employer supporting workforce diversity. At Mixpanel, we are focused on things that really matter—our people, our customers, our partners—out of a recognition that those relationships are the most valuable assets we have. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance or other similar laws that may be applicable, we will consider for employment qualified applicants with arrest and conviction records. We’ve immersed ourselves in our Culture and Values as our guiding principles for the impact we want to have and the future we are building.

🏢 Summary: Senior Frontend Platform Engineer role focused on building and evolving shared frontend foundations, standards, and golden paths across multiple product teams. The position drives consistency, reliability, and scalability of frontend architecture, including AI-assisted automation and platform improvements. It involves cross-team technical leadership to improve developer workflows and long-term maintainability. 🗂️ Requirements: 5+ years software engineering experience, Experience building frontend platforms or design systems used by multiple teams, Experience defining frontend architecture and technical standards, Experience improving developer workflows and frontend reliability, Strong hands-on experience with modern frontend development, Experience with Node.js or similar backend technology, Experience working with frontend-facing APIs or BFFs, Experience driving cross-team technical initiatives 📃 Skills: JavaScript, TypeScript, Node.js, HTML, CSS, Accessibility, APIs, BFF, CI, Automation, AI, Frontend, Architecture 🏢 Description: Company Description 🚀 SmartRecruiters transforms hiring for the world’s leading enterprises. We deliver an AI-powered hiring platform built for global scale, automating and optimizing the entire talent acquisition process. More than 4,000 companies, including LinkedIn, McDonald's, VISA, CD Projekt Red, Allegro rely on SmartRecruiters to build winning teams. 🚀 In 2025, SmartRecruiters joined SAP, the global leader in enterprise applications. Together, we are accelerating the reinvention of hiring by combining AI innovation with the scale and resources of SAP’s ecosystem. Job Description We are looking for an engineer with a strong platform mindset who can make development more consistent, reliable, and scalable across many product teams and applications. You will help define golden paths, improve shared frontend foundations, strengthen standards such as accessibility and verification, and support product teams through tooling, migrations, governance, and automation. The primary focus is on a broader frontend platform impact and making the codebase easier to change, including with AI-assisted workflows. Important: the position is available only under a standard contract of employment with 80% of tax deductible cost. What you’ll do Build and evolve frontend platform foundations that help product teams deliver consistently across many applications Discover recurring needs and friction across product teams, and turn them into reusable patterns, tooling, workflows, and golden paths Define and maintain shared standards, documentation, contribution models, and governance for frontend consistency, accessibility, reliability, and long-term maintainability Drive alignment, adoption, and migrations across teams, helping replace inconsistent local patterns with shared, supported solutions Build AI-assisted automations and agentic workflows that help scale platform improvements, reduce manual effort, and improve consistency across teams Qualifications: Must have qualifications: Senior-level experience, typically 5+ years in software engineering, with a track record of driving cross-team technical work Experience building or evolving frontend platforms, shared engineering foundations, golden paths, or design systems used by multiple teams Experience influencing frontend architecture, standards, or technical decisions beyond a single team Experience improving developer workflows, frontend reliability, or delivery consistency across multiple applications or team Strong hands-on experience building production frontend applications with modern web technologies Experience with Node.js or comparable backend technology, especially in the context of BFFs, frontend-facing APIs, or full-stack platform work Strong collaboration skills and experience working across Engineering, Design, and product teams to drive adoption of shared solutions Nice to have qualifications: Experience working across Angular environments Experience with monorepos, microfrontends, or shared frontend tooling Experience improving build, test, CI, or verification loops for frontend teams Experience with inner source or platform engineering ways of working Experience with Web Components, ideally Lit Public speaking, presentation, or facilitation skills that help share standards, explain platform changes, and drive adoption across teams Benefits: We support 100% remote work with Wi-Fi reimbursement and an additional stipend for the equipment (the MacBook laptop is provided by us) Unlimited vacation days (yes - it's really unlimited) Private Medical Care for you and your dependents (Luxmed) Wellness Programme (Multisport Card and even more) Company wide shutdowns in August and around Christmas Additional information SmartRecruiters is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

🏢 Summary: Hands-On Engineering Manager role focused on building and shipping AI-native, agentic banking products that operate across voice, chat, and digital channels. The position involves architecting low-latency distributed backend systems, orchestrating multi-agent LLM workflows, and leading a high-performance engineering team while remaining deeply hands-on. The goal is to deliver production-grade AI systems that autonomously power real-time financial customer experiences. 🗂️ Requirements: 8+ years backend engineering experience, Experience building distributed systems, Experience with low-latency systems (voice, telephony, streaming, chat), 3+ years working with LLM-powered or AI-driven systems in production, Hands-on experience integrating systems with LLMs, 2+ years engineering management or technical leadership experience, Experience designing and orchestrating agentic workflows, Proficiency in Typescript and/or at least two backend languages, Strong understanding of distributed systems, concurrency, reliability, Experience deploying AI systems in cloud environments, Experience building high-concurrency, fault-tolerant systems, Experience implementing observability, monitoring, and testing for production systems, Experience ensuring security and safe handling of financial data 📃 Skills: Typescript, Node.js, Go, Java, Rust, LLM, AgenticAI, DistributedSystems, Concurrency, Telephony, Streaming, Chat, APIs, Cloud, Observability, Monitoring, Testing, Security, ReinforcementLearning, MultiAgentSystems 🏢 Description: Banking is being reimagined—and customers expect every interaction to be easy, personal, and instant. We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals. Powered by our proprietary BankGPT platform, this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack, unlocking a $200B opportunity and potentially replacing multiple publicly traded companies. Ultimately, our mission is to drive financial well-being for millions of consumers. With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem.About the Role We are building AI-native, agentic products that redefine how customers interact with financial institutions across voice, chat, and digital channels. We are looking for a Hands-On Engineering Manager – Agentic AI Products who operates with an AI-first mindset, has deep backend systems experience, and is comfortable orchestrating multiple AI agents to ship production-grade systems. This role requires someone who: Has built complex distributed backend systems Understands low-latency architectures (voice, telephony, streaming, chat) Is fluent in modern agentic AI engineering Thinks like a founder Leads by building Raises the engineering bar You will architect, review, code, debug, and ship along with building your high performance engineering team. What You'll Do 1. Lead with an AI-First Engineering Mindset Drive AI-first thinking across product architecture and execution. Embed LLMs, multi-agent systems, and structured reasoning into customer-facing workflows. Champion agentic engineering principles across your team. Evaluate and adopt emerging AI capabilities pragmatically and responsibly. Raise the quality bar for AI-generated and human-written code alike. 2. Build and Orchestrate Agentic Systems Architect and implement systems that coordinate multiple AI agents with memory, planning, reflection, and tool use. Be hands-on in coding, agent loop design, evaluation, and reinforcement strategies. Actively participate in the code base Design orchestration layers that convert AI reasoning into reliable execution. Build control frameworks around LLMs for grounding, safety, and deterministic behavior. Develop evaluation pipelines to ensure agents meet production standards. 3. Own Low-Latency, High-Concurrency Backend Systems Design distributed backend systems serving real-time voice and chat interactions. Optimize latency-sensitive systems across telephony, streaming, and API layers. Build event-driven architectures that handle high concurrency and fault tolerance. Implement state management and memory layers for conversational agents. Drive reliability, failover, and graceful degradation strategies. 4. Ship Production-Ready AI Products Ensure AI-generated outputs translate into robust, testable, production-quality code. Maintain high standards for observability, monitoring, and debugging. Build automation and testing strategies for agent-based systems. Ensure security, compliance, and safe handling of financial data. Create durable systems that scale with increasing AI complexity. Lead by example in adopting AI tooling (Cursor, Claude Code, LLM automation) to improve engineering velocity and code quality 5. Operate Like a Founder Demonstrate extreme ownership across product, architecture, and delivery. Drive clarity in ambiguous problem spaces. Move quickly without compromising engineering rigor. Build and grow a high-performance team with bias to action. Set culture around accountability, urgency, and craftsmanship. Required Qualifications 8+ years of backend engineering experience building distributed systems. Strong experience with low-latency systems such as: Voice / telephony platforms Real-time streaming systems Chat or messaging architectures 3+ years working with LLM-powered or AI-driven systems in production Hands on experience building systems that interface with LLMs. 2+ years experience in engineering management or technical leadership with a proven ability to grow and mentor engineers Hands-on experience designing and orchestrating agentic workflows. Strong proficiency in Typescript and/or at least two backend languages (Node.js, Go, Java, Rust etc) Deep understanding of distributed systems, concurrency, and reliability. Experience managing engineers while remaining deeply hands-on. Experience deploying AI systems in cloud environments. Product Mindset: You care deeply about the product experience Strongly Preferred Experience building AI-native customer-facing products. Experience in Fintech or regulated environments. Familiarity with multi-agent architectures and reasoning frameworks. Experience with reinforcement learning or adaptive optimization loops. Experience building structured evaluation and monitoring for AI agents. Who You Are You care deeply about engineering quality and raise the bar for everyone around you. You demonstrate AI-first approaches when solving problems. You move fast and take ownership beyond your scope. You operate with founder-level urgency and accountability. You build teams that execute with discipline and craftsmanship. You are comfortable orchestrating multiple AI agents to produce production-ready outcomes. What Makes This Role Matters? Agentic engineering is changing how products are built. This role defines how: AI systems reason in real time Voice and chat agents operate under latency constraints Financial workflows become autonomous yet safe Multiple AI agents collaborate to produce deterministic, high-quality outcomes You will lead the engineering effort that transforms AI from an assistant into a production-grade system embedded deeply into customer experiences. We value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our Palo Alto or San Francisco office hub and this is an -site role. Compensation: Base Salary is expected to be between $200,000 - $240,000, plus performance bonus and equity options Exact compensation may vary based on skills and location. The base salary range represents the minimum and maximum of the salary range for this position based at our Palo Alto headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of out competitive total rewards package, which also includes equity awards (a new hire grant), competitive health and wellness benefits. What We Offer 100% paid health, dental & vision care 401(k) match & financial wellness perks Discretionary PTO + paid parental leave Mental health, wellness & family benefits A mission-driven team shaping the future of banking At Interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.

🏢 Summary: Hands-On Engineering Manager role focused on building and orchestrating AI-native, agentic systems for real-time voice and chat in banking. The position combines deep backend distributed systems expertise with LLM-driven multi-agent architectures to deliver low-latency, production-grade AI products. You will lead a high-performance team while remaining hands-on in architecting and shipping scalable, reliable AI systems. 🗂️ Requirements: 8+ years backend engineering experience in distributed systems, Experience building low-latency systems (voice, telephony, streaming, chat), 3+ years working with LLM-powered or AI-driven systems in production, Hands-on experience integrating and orchestrating LLMs, 2+ years engineering management or technical leadership experience, Strong proficiency in TypeScript and/or at least two backend languages (Node.js, Go, Java, Rust), Deep understanding of distributed systems, concurrency, and reliability, Experience deploying AI systems in cloud environments, Experience designing agentic workflows and multi-agent systems 📃 Skills: TypeScript, Node.js, Go, Java, Rust, LLMs, AgenticAI, DistributedSystems, Concurrency, Telephony, Streaming, APIs, Cloud, ReinforcementLearning, Monitoring, Observability 🏢 Description: Banking is being reimagined—and customers expect every interaction to be easy, personal, and instant. We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals. Powered by our proprietary BankGPT platform, this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack, unlocking a $200B opportunity and potentially replacing multiple publicly traded companies. Ultimately, our mission is to drive financial well-being for millions of consumers. With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem.About the Role We are building AI-native, agentic products that redefine how customers interact with financial institutions across voice, chat, and digital channels. We are looking for a Hands-On Engineering Manager – Agentic AI Products who operates with an AI-first mindset, has deep backend systems experience, and is comfortable orchestrating multiple AI agents to ship production-grade systems. This role requires someone who: Has built complex distributed backend systems Understands low-latency architectures (voice, telephony, streaming, chat) Is fluent in modern agentic AI engineering Thinks like a founder Leads by building Raises the engineering bar You will architect, review, code, debug, and ship along with building your high performance engineering team. What You'll Do 1. Lead with an AI-First Engineering Mindset Drive AI-first thinking across product architecture and execution. Embed LLMs, multi-agent systems, and structured reasoning into customer-facing workflows. Champion agentic engineering principles across your team. Evaluate and adopt emerging AI capabilities pragmatically and responsibly. Raise the quality bar for AI-generated and human-written code alike. 2. Build and Orchestrate Agentic Systems Architect and implement systems that coordinate multiple AI agents with memory, planning, reflection, and tool use. Be hands-on in coding, agent loop design, evaluation, and reinforcement strategies. Actively participate in the code base Design orchestration layers that convert AI reasoning into reliable execution. Build control frameworks around LLMs for grounding, safety, and deterministic behavior. Develop evaluation pipelines to ensure agents meet production standards. 3. Own Low-Latency, High-Concurrency Backend Systems Design distributed backend systems serving real-time voice and chat interactions. Optimize latency-sensitive systems across telephony, streaming, and API layers. Build event-driven architectures that handle high concurrency and fault tolerance. Implement state management and memory layers for conversational agents. Drive reliability, failover, and graceful degradation strategies. 4. Ship Production-Ready AI Products Ensure AI-generated outputs translate into robust, testable, production-quality code. Maintain high standards for observability, monitoring, and debugging. Build automation and testing strategies for agent-based systems. Ensure security, compliance, and safe handling of financial data. Create durable systems that scale with increasing AI complexity. Lead by example in adopting AI tooling (Cursor, Claude Code, LLM automation) to improve engineering velocity and code quality 5. Operate Like a Founder Demonstrate extreme ownership across product, architecture, and delivery. Drive clarity in ambiguous problem spaces. Move quickly without compromising engineering rigor. Build and grow a high-performance team with bias to action. Set culture around accountability, urgency, and craftsmanship. Required Qualifications 8+ years of backend engineering experience building distributed systems. Strong experience with low-latency systems such as: Voice / telephony platforms Real-time streaming systems Chat or messaging architectures 3+ years working with LLM-powered or AI-driven systems in production Hands on experience building systems that interface with LLMs. 2+ years experience in engineering management or technical leadership with a proven ability to grow and mentor engineers Hands-on experience designing and orchestrating agentic workflows. Strong proficiency in Typescript and/or at least two backend languages (Node.js, Go, Java, Rust etc) Deep understanding of distributed systems, concurrency, and reliability. Experience managing engineers while remaining deeply hands-on. Experience deploying AI systems in cloud environments. Product Mindset: You care deeply about the product experience Strongly Preferred Experience building AI-native customer-facing products. Experience in Fintech or regulated environments. Familiarity with multi-agent architectures and reasoning frameworks. Experience with reinforcement learning or adaptive optimization loops. Experience building structured evaluation and monitoring for AI agents. Who You Are You care deeply about engineering quality and raise the bar for everyone around you. You demonstrate AI-first approaches when solving problems. You move fast and take ownership beyond your scope. You operate with founder-level urgency and accountability. You build teams that execute with discipline and craftsmanship. You are comfortable orchestrating multiple AI agents to produce production-ready outcomes. What Makes This Role Matters? Agentic engineering is changing how products are built. This role defines how: AI systems reason in real time Voice and chat agents operate under latency constraints Financial workflows become autonomous yet safe Multiple AI agents collaborate to produce deterministic, high-quality outcomes You will lead the engineering effort that transforms AI from an assistant into a production-grade system embedded deeply into customer experiences. We value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our Palo Alto or San Francisco office hub and this is an -site role. Compensation: Base Salary is expected to be between $200,000 - $240,000, plus performance bonus and equity options Exact compensation may vary based on skills and location. The base salary range represents the minimum and maximum of the salary range for this position based at our Palo Alto headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of out competitive total rewards package, which also includes equity awards (a new hire grant), competitive health and wellness benefits. What We Offer 100% paid health, dental & vision care 401(k) match & financial wellness perks Discretionary PTO + paid parental leave Mental health, wellness & family benefits A mission-driven team shaping the future of banking At Interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.

🏢 Summary: Leadership role responsible for scaling and modernizing a cloud-native credit platform, overseeing multiple engineering teams building resilient, high-availability distributed systems. The position drives architectural decisions, engineering standards, and operational excellence in a regulated fintech environment. Focused on delivering secure, scalable credit products through strong technical and execution leadership. 🗂️ Requirements: 10+ years of software engineering experience, 5+ years leading engineering managers or multiple teams, Experience building and scaling distributed systems, Experience with cloud-native environments (AWS preferred), Strong background in microservices architectures, Experience with high availability systems, Experience in regulated or compliance-sensitive environments 📃 Skills: AWS, Microservices, DistributedSystems, CloudNative, HighAvailability, SystemDesign, Architecture, Fintech, Credit, Compliance 🏢 Description: Marqeta is looking for a Director, Software Engineering to lead and evolve our Credit platform. This is a critical leadership role responsible for scaling the next generation of innovative credit products that power modern fintech experiences. You will lead multiple engineering teams responsible for building, operating, and modernizing core components of our credit platform. This role requires a leader who sets a high bar, moves with urgency, and brings clarity in complex environments. You will partner closely with Product, Data, Risk, Compliance, and Operations to define strategy, drive execution, and deliver resilient, secure, and highly available systems at scale. We work Flexible First. This role can be performed remotely in the United States, only in one of our National locations, which you can review here. The Impact You’ll Have Lead and develop multiple engineering teams responsible for core credit capabilities. Drive platform resiliency, scalability, and operational excellence. Partner with Product to shape roadmap, sequencing, and delivery strategy. Establish clear engineering standards around quality, reliability, testing, and documentation. Improve execution rigor including planning, sprint hygiene, and measurable outcomes. Lead architectural discussions and make high quality technical decisions. Stay close to the codebase and system design while empowering teams to execute. Recruit and develop top engineering talent and actively build bench strength. Create a culture of ownership, accountability, and continuous improvement. Who You Are 10+ years of engineering experience with 5+ years leading engineering managers or multiple teams. Experience building and scaling distributed systems in cloud native environments, preferably AWS. Strong background in microservices architectures and high availability systems. Proven ability to operate in regulated or compliance sensitive environments. Experience in fintech strongly preferred; credit domain experience is a plus but not required. Demonstrated track record of raising engineering standards and improving execution discipline. Comfortable navigating ambiguity while driving clarity and momentum. High personal standards and a bias toward action. What Will Set You Apart Experience building or scaling credit products such as underwriting, ledgering, servicing, or transaction processing. Experience improving platform resiliency such as multi region architectures. Track record of evolving teams from good to great. Masters Degree in Computer Science. Your Manager Rahul Rana Recruiter For This Role Prashant Sharma Typical Process Application Submission Recruiter phone call Hiring manager video call Virtual “Onsite” consisting of 4-5, 45 min calls Offer! Compensation and Benefits Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. Compensation is aligned according to the National tier within the United States: National: A baseline tier that applies to most of the geographic territory of the United States. Visit this page or consult with a Recruiter to determine which tier would be applicable to you. When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position is: National: $242,400 - $303,000 We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company. Along with monetary compensation, Marqeta offers Multiple health insurance options Flexible time off – take what you need Retirement savings program with company contribution and after tax contributions Equity in a publicly-traded company and an Employee Stock Purchase Program Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave Free therapy sessions, financial and professional coaching, and legal advice Monthly stipend to support our remote work model Annual “development dollars” to support our people growth and development Through Flex First, the freedom to live and work wherever you and your family thrive About Marqeta Marqeta is on a mission to change the way money moves. We’re one of the earliest enablers of embedded finance, a market opportunity sized up in the trillions. Our card issuing platform provides unprecedented flexibility and control for companies to issue cards, authorize transactions, and manage payment operations in real time. Marqeta is powering the most well known brands in the new economy (Block, Cash App, Affirm, Instacart, Doordash, Uber, Walmart, etc). You don’t need to be a Payments expert to join the Marqeta Team, let us help you with that. This is the opportunity of a lifetime to work with innovators around the world and unlock equitable financial access for all. Marqeta’s Values – Solve for the Customer: With a deep understanding of our customers' business and empathy for their needs, we deliver products and services that drive their success. Earning and keeping their trust guides everything we do. – Do What's Right: Knowing businesses and livelihoods depend on us, we pursue solutions that disrupt responsibly and deliver high-quality results that our customers count on. We own our work from start to finish. – Simplify and Innovate: We approach challenges with curiosity and take smart risks. Innovation comes from finding better, simpler ways to achieve extraordinary outcomes. – Win as a Team: We succeed together by embracing diverse perspectives and pushing each other to raise the bar. We lead with humility and set aside hierarchy to work as a team. – Make it Count: We drive forward with focus and agility. With a sense of urgency and purpose, we get the job done, and done right. Equal Employment Opportunity, Accommodations and Privacy Marqeta is an equal opportunity employer committed to an inclusive workplace that fosters belonging. We do not discriminate based on race, color, religion, sex (including pregnancy, lactation, childbirth, or related medical conditions), veteran status or uniformed service member status, age, national origin or ancestry, citizenship or immigration status, physical or mental disability, gender identity, gender expression, sexual orientation, genetic information (including testing or characteristics) or any other characteristic protected by applicable law. We also consider qualified applicants with criminal histories, consistent with legal requirements. Marqeta endeavors to make reasonable accommodations for applicants with disabilities. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please submit this form with your specific accommodation request. Personal data that is provided as part of the application and recruitment process is processed in accordance with the Applicant Privacy Notice. Additional information for California residents can be found here.