May 7, 2026

Principal Full Stack Engineer

Senior • Remote

Austin, TX

Steer offers a suite of software tools for today's automotive repair shop. We combine a mix of software tools that a repair shop needs to run a highly profitable shop, in one user-friendly, cost-effective platform. Through the Steer suite, we allow the shop owner to get back to focusing on what matters, and to stop worrying about marketing and customer retention.

Steer began as an online directory for drivers to find a local mechanic. Fast forward to today, Steer has launched a complete Customer Relationship Management (CRM) marketing suite, complete with text messaging, email automation, direct mail integration, reputation management, appointment reminders, declined/recommended services, and many other features. We are always innovating and we are proud to be a leader in the automotive repair industry. In August 2024 Steer acquired AutoOps - the leader in modern, intelligent, and fully integrated scheduling software for auto repair shops. AutoOps allows customers to smoothly schedule through a shop's website and Google Business Profile.

About the Role

We're growing our world-class engineering team to usher our CRM platform into the next generation of software — and we're looking for a visionary Lead Full Stack Engineer to join our Core Platform Team

Most Lead roles at "Big Tech" companies involve maintaining a single microservice or acting as a small cog in a 100-person machine. At Steer, you aren't just a contributor; you are the architect of a platform aiming for 100% market dominance. This is a high-impact role for someone who doesn't just write great code, but who can see around corners, challenge conventions, and lead entire products from vision to launch.

We are actively refactoring our existing teams to be agentic-first — meaning our engineers don't just use AI as a tool, they architect systems around autonomous, AI-driven workflows. This is not a future initiative; it is how we build today.

Why Steer?

  • True Ownership: You will lead massive products from start to finish within lean, high-velocity teams.
  • Hyper-Growth & Vision: We are currently at a fraction of our total addressable market in the automotive industry. The potential for scale is massive, and you will be a leading developer shaping this space
  • Freedom to Innovate: You don't need side projects to explore new techniques. We provide the autonomy and the platform to experiment with and implement the latest tech directly into our core product.
  • AI-First & Agentic Culture: We are refactoring our teams to be agentic-first. We prioritize high-level problem-solving and AI/LLM expertise, and we actively encourage the use of AI tools to accelerate coding across any language and to power autonomous production workflows.

What You'll Do

  • Technical Strategy & Ownership: Focus on the core components of the Steer CRM, specifically optimizing how we ingest and process data to revolutionize our automation tools.
  • Architectural Vision: Lead the design of reusable full-stack components and services that ensure our platform remains performant as we scale toward market dominance.
  • Adaptive Development: Pivot at a moment's notice based on evolving business needs, shifting focus between new integrations and core infrastructure to keep our ecosystem seamless.
  • Customer-Centric Engineering: Partner closely with Product to understand user pain points, ensuring every architectural decision adds tangible value to the auto repair shops we serve.
  • Code Excellence: Champion best practices in security, test automation, and maintainability. Conduct deep-dive code reviews that elevate the entire engineering organization.
  • Modern DevOps & Agentic Infrastructure: Influence our CI/CD pipelines, containerization (Docker, Kubernetes), and IaC practices. Design and maintain AI-integrated, agentic-ready infrastructure that enables autonomous workflows.

What You Have

Must Have:

  • 7+ years of professional experience building complex, web-based SaaS products.
  • AI & LLM Integration: Hands-on experience working with LLMs and prompt engineering. You use AI to bridge gaps and accelerate development.
  • AI in Production: Proven experience deploying AI-powered features and autonomous (agentic) workflows in production-grade infrastructure.
  • AI-Driven CI/CD: Hands-on experience integrating AI tooling into CI/CD pipelines (e.g., automated code review agents, AI-assisted testing, or agentic workflow orchestration).
  • Database Expertise: Proficiency with both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases, including schema design and query optimization.
  • The "Owner" Mindset: A track record of taking full accountability for projects and a passion for solving "impossible" problems in fast-paced environments.
  • Exceptional Communication: The ability to translate complex technical concepts into product outcomes and collaborate effectively with leadership.

Nice to Have:

  • Familiarity with our current stack: .NET, Node.js (TypeScript), and React.
  • Experience with Infrastructure as Code (Terraform, CloudFormation).
  • Previous experience as a founding engineer or in an early-stage startup environment.
  • Experience building or integrating with Claude marketplace plugins (Anthropic ecosystem), including prompt chaining, tool use, or MCP integrations.

Interview Process

  1. Initial Screen — 30 min with Lead Recruiter
  2. Hiring Manager Interview — 60 min with the Head of Engineering & Product
  3. Technical Interview — 60 min with a Principal Engineer
  4. Collaborative Interview — 30 min with Technical Product Manager

What We Offer

  • Equity Options: Own a piece of the company's success.
  • 100% Remote: Work from anywhere in the US.
  • 100% Employer-Paid Medical Insurance.
  • Flexible PTO: With a 15-day minimum.
  • FSA, HSA, and 401k options.
  • Learning Stipend & WFH Equipment: Everything you need for a world-class home office.
  • Innovative Culture: A seat at the table to influence the latest AI technology in a collaborative, agentic-first environment.

Why Join Steer?

At Steer, we align our mission of transforming the auto repair experience for shop owners and their customers with your passion for growth, innovation, and excellence.

Here, you'll find opportunities to expand your skills, take on career-shaping challenges, and contribute to the future of the auto repair industry, all while enjoying comprehensive benefits and flexible work arrangements to support your well-being.

Join Steer to be part of a forward-thinking, flexible, and collaborative culture where you are empowered to do meaningful and impactful work.



We value diversity and believe that forming teams in which everyone can be their authentic self is key to our success. We welcome applications from those with diverse backgrounds and industries.

Our hiring process looks beyond just credentials. The school you went to at 18 doesn't define your potential to thrive and enrich our culture. Even if you don't meet every requirement, we invite you to apply.

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On-site

Raleigh, NC

🏢 Summary: Leadership role overseeing Customer Success Managers across enterprise and scaled segments, focused on building a unified account health framework and driving proactive, data-driven retention strategies. The position combines strategic operations, analytics, and team mentorship to professionalize CS processes and scale engagement models. Fully remote with comprehensive benefits and growth opportunities. 🗂️ Requirements: 2+ years managing a Customer Success team or 4+ years as Senior/Lead CSM, Experience with Enterprise (high-touch) and Scaled/Digital (tech-touch) customer segments, Experience conducting QBRs and managing multi-stakeholder accounts, Experience using CRM, BI tools, or Excel for health tracking and churn prediction, Ability to design and implement scalable processes, tools, or workflows, Experience managing team performance using KPIs 📃 Skills: CRM, BI, Excel, Gainsight, Vitally, ChurnZero, Automation, DataVisualization 🏢 Description: Steer provides a suite of software tools for automotive repair shops, combining CRM marketing, text messaging, email automation, direct mail integration, reputation management, appointment reminders, declined/recommended services, and integrated scheduling software. About the Role As the Manager of Customer Success, you will lead Customer Success Managers across a diverse portfolio ranging from high-touch Enterprise partnerships to high-volume Scaled segments. Reporting to the Director of Customer Success, you will bridge personalized relationship management and digital-first automation. Your mission is to professionalize CS operations by building a unified "Account Health" framework that works for every customer and to transform informal knowledge into structured, data-driven playbooks that drive retention. You Will - Define and iterate engagement models for Enterprise (high-touch) and Scaled (tech-touch) tiers. - Develop a standardized Account Health Scoring system to identify risk across 1,000+ accounts. - Transition informal collaboration into a structured internal knowledge base and formal playbooks. - Use leading indicators to trigger proactive outreach and improve retention. - Manage day-to-day performance of the CS team using clear KPIs to drive accountability and growth. You Have Must Have: - 2+ years managing a Customer Success team or 4+ years as a Senior/Lead CSM. - Proven experience managing Enterprise accounts (QBRs, multi-stakeholder navigation) and Scaled/Digital segments (automation, mass communication). - Experience using data (CRM, BI tools, or Excel) to track health, predict churn, and report on performance. - Ability to design scalable processes and successfully implement new tools, workflows, or playbooks. - Coaching-oriented leadership style with high emotional intelligence. Nice to Have: - Ability to work with advanced data visualization tools. - Experience selecting or implementing a CS platform (e.g., Gainsight, Vitally, ChurnZero). - Experience in the automotive industry. We Offer - 100% remote work environment. - Medical, dental, and vision insurance within 30 days (100% employer-paid medical). - Equity package. - Flexible PTO with 15 days minimum. - Generous parental leave. - FSA and HSA options. - 401(k). - Growth & wellness stipend. - WFH equipment. - Collaborative, high-ownership culture. - Opportunities for development and career growth.

Technology

Mechanic Advisor

Manager of Sales

Senior

Hybrid

Waltham, MA

🏢 Summary: Hands-on Sales Manager role leading BDR and AE teams in a fast-growing automotive SaaS environment, owning the full sales funnel from pipeline generation to revenue conversion. The position focuses on data-driven coaching, AI-enabled sales workflows, and building a high-performance culture. Success is measured by rooftops added, MRR growth, and team development. 🗂️ Requirements: 3–5+ years B2B SaaS sales experience, 2+ years in sales management role, Experience managing BDRs and/or AEs, Ability to own full sales funnel, Data-driven sales coaching experience, Experience tracking conversion and activity metrics, Strong forecasting and pipeline management skills, Experience building sales processes and playbooks, Familiarity with AI tools in sales workflows, Strong communication and feedback skills 📃 Skills: SaaS, B2B, CRM, AI, HubSpot, Nooks, Forecasting, Pipeline, Prospecting, ColdCalling, Coaching, Analytics 🏢 Description: About The Role Steer is building one of the fastest-growing GTM engines in automotive SaaS and is seeking a Manager of Sales to lead from the front. This is a high-impact leadership role at the intersection of pipeline generation and revenue conversion, owning both the BDR and AE motion or coming in strong on one side with readiness to master both. This is a hands-on role involving call listening, real-time coaching, running blitzes, and building a high-performing team. Success is measured by rooftops added, MRR growth, and the development and success of sales representatives. The role is hybrid, 3 days per week in the Waltham, MA office, and reports to the Head of Sales. You Will: - Lead & Develop the Team: Hire, onboard, and develop BDR and AE talent. Build a culture of accountability, learning, and performance. Create clear progression paths from BDR to AE. - Coach With Data: Use activity metrics, conversion rates, connect rates, and pipeline data to identify improvement areas. Run call reviews, role-plays, and live coaching sessions. - Own the Full Funnel: Partner with BDRs on prospecting quality and handoffs, and with AEs on demo execution and close rates. Connect top-of-funnel activity to revenue outcomes. - Build & Maintain the Playbook: Develop and update the Sales Playbook covering prospecting, cold calling, objection handling, and closing. - Use AI Tools: Integrate AI into workflows for call intelligence, outreach personalization, pipeline forecasting, and coaching. - Operate Strategically: Align with Marketing, RevOps, and Sales Leadership. Deliver accurate forecasts and performance data. Own monthly and quarterly pipeline targets. You Have: Must Have - 3–5+ years in B2B SaaS sales, with at least 2+ years in sales management - Experience managing BDRs, AEs, or both - Player-coach mentality - Data-driven coaching approach - Strong communication skills - Comfort building processes in ambiguous environments - Familiarity with or interest in AI tools in sales workflows Nice to Have - Experience in automotive, SMB, or blue-collar verticals - Track record of promoting BDRs into closing roles - Experience with high-velocity, short-cycle sales cycles (2–3 days) - Familiarity with HubSpot and Nooks Interview Process - Initial Screen (Lead Recruiter) - Hiring Manager Interview - Presentation - Direct Report Interview - Career Journey/Problem Solving Exercise - Reference Checks - Wonderlic Assessment We Offer - Medical, Dental and Vision insurance within 30 days - 100% employer-paid medical insurance - Equity package - Flexible PTO with 15 days minimum - Generous Parental Leave - FSA and HSA options - 401(k) - Learning Stipend - WFH Equipment - Opportunity to work with the latest technology - Collaborative, high ownership culture - Opportunities for development and career growth

Technology

Citigroup

AI and Devops Technical Support Analyst

Senior

Hybrid

Warsaw, Poland

165,020 - 280,980 PLN/yr

🏢 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.

Technology

Interface.ai

Engineering Manager- (Agentic AI Products)

Senior

On-site

San Francisco, CA

16,667 - 20,000 USD/yr

🏢 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.

Technology

Interface.ai

Engineering Manager- (Agentic AI Products)

Senior

On-site

Palo Alto, CA

16,667 - 20,000 USD/yr

🏢 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.