Product Manager, Data Integrations

🏢 Summary: Senior Product Manager role focused on driving product platform initiatives in a fintech environment, owning product strategy, roadmaps, analytics, and cross-functional execution for B2B2C products. The position involves collaborating with engineering, design, and go-to-market teams to deliver scalable, data-driven financial products and improve customer adoption and conversion. 🗂️ Requirements: 6+ years of B2B or B2B2C product management experience, Proven track record of shipping high-performing products, Ability to write SQL queries, Experience building Mixpanel dashboards, Experience working with customer insights and quantitative data, Ability to navigate technical trade-off discussions with engineering teams, Ability to collaborate with UX and design teams, Strong communication and cross-functional collaboration skills, Experience prioritizing based on customer and revenue impact, Ability to work in a fast-paced hybrid environment 📃 Skills: SQL, Mixpanel, ProductManagement, Analytics, UX, FinTech, Roadmapping, DataScience 🏢 Description: WHO WE ARE Nova Credit is a credit infrastructure and analytics company that enables businesses to grow responsibly by harnessing alternative credit data. The company leverages its unique data infrastructure, industry-leading analytics and FCRA-compliance to help lenders fill gaps in traditional credit analytics. Nova Credit provides access to consumer financial data and transforms it into compliant, actionable risk analytics through solutions designed to increase conversion, speed, and reliability. Nova Credit offers a dynamic and inclusive work environment where employees can impact financial inclusion through technology. THE OPPORTUNITY We're seeking a dynamic Senior Product Manager with 6+ years of experience to join our innovative team. This Senior Product Manager will primarily drive Product Platform initiatives and may also support initiatives across two core verticals. This role involves managing the product lifecycle from ideation to launch and beyond. The ideal candidate thrives in a fast-paced, B2B2C environment and engages deeply with customers to transform needs into impactful product requirements. Collaboration with engineering, design, and go-to-market teams is essential. Key responsibilities include: - Defining product strategy for assigned verticals - Developing detailed product roadmaps - Ensuring timely execution and high-quality product delivery - Driving product adoption - Conducting performance analysis for continuous improvement This is a hybrid full-time role based in the New York Metropolitan area, reporting to the Head of Product. Relocation support is available. WITHIN THE FIRST MONTH, YOU'LL: - Become familiar with all products on Nova Credit's platform - Build cross-functional partnerships across Design, Engineering, Data Science, Pre-Sales, Post-Sales, and Solutions Architecture - Participate in customer calls and review feedback - Analyze product metrics and company KPIs - Deliver at least one key roadmap feature WITHIN THE FIRST QUARTER, YOU'LL: - Understand the business model, products, customer needs, and competitors - Maintain a prioritized product roadmap aligned with company goals - Set quarterly product goals WITHIN THE FIRST YEAR, YOU'LL: - Become a subject matter expert in your area - Launch and iterate on multiple product initiatives - Build strong relationships with internal partners and customers - Contribute to product culture and long-term product vision YOUR SKILL SET: - Minimum 6 years of B2B or B2B2C product management experience - Proven track record of shipping high-performing products - Ability to write SQL queries and build Mixpanel dashboards - Strong customer communication and data synthesis skills - Ability to navigate technical trade-offs with engineering teams - Ability to collaborate with design teams on UX decisions - Strong communication and interpersonal skills - Ability to balance speed, quality, and long-term vision - Bias toward action and problem-solving in ambiguous environments SAMPLE PROJECTS: - Scaling sandbox environments and customer testing suites - Improving internal and external product analytics - Building new integration options across products - Supporting ad-hoc initiatives across lending, property management, and partnerships BONUS QUALIFICATIONS: - Deep FinTech knowledge, especially in credit and risk domains using consumer-permissioned or credit data COMPENSATION AND BENEFITS: - Base salary range: $176,800 - $216,000 - Equity grants and incentive compensation for eligible roles - Professional development opportunities - Flexible PTO and tenure rewards - Employer-subsidized medical, dental, and vision plans - Mental health and wellness benefits - Additional benefits and perks Nova Credit is an equal opportunity employer and encourages qualified candidates to apply.

🏢 Summary: Senior Product Manager role responsible for defining and executing the strategy for integration platforms, developer tooling, and SDKs within a large SaaS ecosystem. The position focuses on scaling integrations with major technology partners, improving developer experience, and ensuring high-quality backend standards for ecosystem contributions. You will drive platform evolution, integration infrastructure, and technical enablement to accelerate partner and developer adoption. 🗂️ Requirements: 5+ years in technical product management, Experience in B2B SaaS or cloud infrastructure, Experience with SDK design, Experience managing backend services, Understanding of system architectures, Experience with developer tools or platforms, Track record of shipping scalable infrastructure products, Bachelor’s degree in Engineering, Computer Science, Information Technology or equivalent 📃 Skills: SaaS, Cloud, SDK, APIs, Backend, Architecture, Integration, Monitoring, Metrics, Schemas, DevTools, Infrastructure 🏢 Description: As a Senior Product Manager in the Ecosystem and Integrations group, you will own the vision, strategy, and execution for a critical portion of Datadog’s integration landscape. You will focus on scaling Datadog’s connectivity with major SaaS providers and strategic technology partners while leading the evolution of the tools—including the Publication Platform, Integration Task Service, and SDKs—that empower external developers and internal teams to build within our ecosystem. What You’ll Do Publication Platform & Task Service: Oversee the end-to-end vision and strategy for the Publication Platform (Pub Plat) and the Integration Task Service. Ensure these systems are robust, scalable, and intuitive for both internal and external developers. Ecosystem Relationship Enablement: In close collaboration with Technology Partner Managers (TPMs), help manage and scale technical relationships across the entire partner ecosystem. You will provide the product guidance and technical frameworks that allow TPMs to manage partner success at scale. Integration Developer Tooling & SDKs: Drive initiatives to increase development velocity through extensible SDKs (e.g., CrawlerSDK) and self-service enablement. Your goal is to make the developer experience (DX) seamless from the first line of code to production. Marketing & GTM Initiatives: Lead the creation of technical blogs, release notes, and feature announcements. Work with PMM and TPMs to define “rules of engagement” for marketing efforts with ISVs and drive joint GTM motions. Global Ecosystem Growth: Facilitate partner contributions through direct engagement and streamlined onboarding. Act as the primary PM advocate for third-party developers, ensuring our tooling roadmap removes friction for the ISV community. Quality & Backend Standards: Establish and enforce automated quality standards for the integration "under the hood"—including monitors, metrics metadata, and data schemas—ensuring that everything built via our tooling meets Datadog's high reliability and performance bars. Who You Are Experience: You have 5+ years of experience in technical product management, ideally within B2B SaaS, cloud infrastructure, or developer tools. Technical Acumen: You enjoy gaining a deep understanding of complex system architectures, developer workflows, and building for extensibility. Platform Thinker: You enjoy building "the machine that builds the machine." You have experience with SDK design and managing backend services that support high-concurrency developer tasks. Business minded: You think like a business owner and hold yourself and the organization accountable for KPIs. Communication Skills: You have strong communication skills and the willingness to present your ideas to technical stakeholders and executives alike. Analytical skills: You have sharp critical thinking and analytical skills and the ability to link the product roadmap with business objectives. Collaborative Partner: You have demonstrated success in working alongside business-oriented roles (like TPMs or BizDev) to translate technical capabilities into strategic partner value. Proven Impact: A track record of shipping scalable infrastructure or developer products and driving meaningful business metrics like developer adoption and time-to-market. You have a Bachelor's Degree in Engineering, Computer Science, Information Technology, or equivalent experience. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$187,000—$240,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Senior Product Engineer role focused on building full-stack applications, AI-assisted workflows, automation systems, and cloud infrastructure in a remote-first environment. The position emphasizes end-to-end ownership, AI-native development practices, and delivering measurable business impact across multiple technical domains. 🗂️ Requirements: Experience building production web applications, Experience with modern application frameworks, Experience designing A/B testing frameworks, Knowledge of cloud infrastructure, Experience with relational databases and query optimization, Proficiency with Git-based workflows and CI/CD, Ability to use AI-assisted development tools in production, Strong architectural and systems thinking, Ability to independently deliver complex software systems, Authorization to work in the United States 📃 Skills: PHP, Python, TypeScript, Laravel, Astro, AWS, Cloudflare, MySQL, Datadog, PostHog, Git, CI/CD, LLMs, RAG, Embeddings, Containerization, Orchestration 🏢 Description: What makes TechnologyAdvice unique is the breadth of problems our teams solve. Our engineers work across content platforms, data products, AI-powered workflows, lead generation systems, revenue operations, analytics, and internal business tools. Rather than being confined to a single product area, engineers have the opportunity to create impact across nearly every part of the business. Our Engineering Team builds and maintains the platforms, data pipelines, automation systems, and infrastructure that power the company. We believe exceptional engineers create value by solving business problems, not just writing code, and we empower our teams to work directly with stakeholders to identify opportunities and deliver solutions. We are a lean, high-leverage engineering organization where individual engineers can have outsized influence on company outcomes. Unlike many engineering roles focused on a single product, you'll have the opportunity to work across content platforms, revenue systems, AI workflows, analytics, automation, and internal business tools. We value ownership, execution, and business impact over years of experience. Exceptional candidates who consistently turn ideas into production systems and demonstrate extraordinary leverage through AI-assisted development are encouraged to apply. The opportunity We're seeking a Senior Product Engineer who uses AI as a core part of their engineering workflow. You'll leverage modern AI tools to accelerate software delivery while maintaining high standards for architecture, reliability, security, and maintainability. We believe exceptional engineers can create outsized business impact when empowered by modern AI tools, and we're building around that philosophy. As an individual contributor on our distributed team, you'll independently identify opportunities, define solutions, and deliver systems from concept to production. You'll work across the full lifecycle of software development—including discovery, architecture, implementation, deployment, and ongoing iteration—while collaborating closely with engineers, business stakeholders, and operational teams throughout the organization. Success in this role is measured by business impact, speed of execution, quality of solutions, and the ability to independently identify and deliver high-value opportunities. If you thrive in ambiguity, enjoy solving real business problems, and are excited by the idea of using AI to increase your engineering leverage, we'd love to talk. The best candidates for this role are naturally curious, highly autonomous, and energized by identifying opportunities that others overlook. What you'll do - Apply AI-assisted development practices to rapidly prototype, validate, and ship production-ready solutions - Identify opportunities across the business where software, automation, data, or AI can create meaningful operational, product, or revenue impact - Own solutions end-to-end—from discovery and scoping through architecture, implementation, deployment, measurement, and ongoing iteration - Collaborate directly with business stakeholders to understand problems, define solutions, communicate trade-offs, and measure outcomes - Design, build, and maintain full-stack applications, backend services, automations, and internal tools that drive business value - Contribute to architectural decisions, technical strategy, and long-term platform evolution - Work directly with cloud infrastructure and edge platforms, including AWS and Cloudflare - Monitor, troubleshoot, and improve system reliability, observability, performance, and operational excellence - Conduct thoughtful code reviews, uphold high engineering standards, and mentor other engineers - Continuously evaluate new technologies, AI capabilities, and development practices that can increase team effectiveness and engineering leverage Who you are Product Ownership & Execution - Demonstrated ability to move from ambiguous business problems to deployed solutions, collaborating directly with stakeholders throughout discovery, delivery, and measurement - Proven track record of independently delivering complex software systems and business outcomes with minimal oversight - Strong judgment in evaluating build-vs-buy decisions and identifying opportunities to leverage existing platforms, automation, and AI before building custom solutions AI-Native Engineering - Demonstrated ability to effectively leverage AI-assisted development tools in production environments while maintaining high standards for quality, security, performance, and maintainability - Strong systems thinking and architectural judgment to validate, refine, and extend AI-generated solutions Technical Expertise - Experience building and maintaining production web applications - Comfortable working within modern application frameworks - Experience designing and implementing experimentation and A/B testing frameworks - Working knowledge of cloud infrastructure - Solid experience with relational databases, including writing and optimizing queries both within and outside of ORMs - Proficiency with Git-based development workflows, code reviews, CI/CD pipelines, and automated deployment practices Collaboration & Communication - Strong communication skills and the ability to collaborate effectively across technical and non-technical stakeholders in a globally distributed organization - Self-driven, highly autonomous, and comfortable operating in a remote-first environment while managing priorities and consistently delivering results Experience with PHP, Python, TypeScript, Laravel, Astro, AWS, Cloudflare, MySQL, Datadog, PostHog, LLM APIs, embeddings, RAG architectures, agent frameworks, infrastructure-as-code, containerization, or orchestration is helpful. Engineering Culture - We ship frequently — small, incremental changes deployed via GitOps - We embrace AI — use of AI-powered tools such as Cursor, Claude, and ChatGPT to accelerate development - We own our infrastructure — engineers are empowered to improve the systems they build - We optimize for outcomes — engineers are encouraged to identify opportunities, challenge assumptions, and solve business problems What we offer you - Career growth opportunities with mentorship and leadership programs - Flex Fridays with adjustable schedules - Remote-first work environment - Flexible PTO - Medical, dental, and vision coverage - Life, AD&D, short-term, and long-term disability insurance - 401K with company match - Paid parental leave - Wellness perks and fitness reimbursements - Pet insurance - Speaker series bonus opportunities - Book reimbursement program - Bucket list benefit after 3 years - In-office catered lunches Work authorization Employer work visa sponsorship and support are not provided for this role. Applicants must be currently authorized to work in the United States at hire and maintain authorization throughout employment. Salary Range Annual pay range: $160,000—$230,000 USD Pre-employment screening required. Any AI-generated or incomplete application answers will be auto-rejected.

🏢 Summary: Senior Product Manager role owning a critical part of a global logistics platform, defining product vision and roadmap, and delivering data-driven features that improve complex workflows for clients and operators. The position focuses on shipping intuitive, user-facing solutions in a data-dense environment while partnering cross-functionally with engineering, design, sales, and operations. It requires strong analytical capabilities and SQL proficiency to drive measurable business outcomes at scale. 🗂️ Requirements: 6+ years of product management or domain-relevant experience, Strong analytical and quantitative skills, Proficiency in SQL, Experience working with complex datasets and building metrics frameworks, Proven track record of shipping intuitive UX in data-dense, complex domains, Experience building user-facing or operator-facing workflow features, Ability to collaborate with engineering, design, sales, and operations teams, Excellent written and verbal communication skills 📃 Skills: SQL, Analytics, ProductManagement, UX, DataAnalysis, Metrics, B2B, Logistics, SupplyChain, WorkflowSoftware 🏢 Description: About Flexport: At Flexport, we believe global trade can move the human race forward. That's why it's our mission to make global commerce so easy there will be more of it. We're shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The opportunity: We're looking for a Senior Product Manager to join Flexport's product team and own a critical part of how we serve clients and operators across global logistics. You'll define the vision and roadmap for your product area, ship features that drive measurable business outcomes, and collaborate with engineering, design, commercial, and operations teams to solve hard problems at scale. Flexport's platform powers every stage of global freight, from booking and pricing to visibility, customs, and delivery. The products you build will be used daily by logistics managers, supply chain leaders, freight operators, and internal teams who keep goods moving around the world. This is a high-impact role for someone who combines strong product instincts with deep analytical skills and comfort navigating complex domains. You will: - Define and deliver features that improve key workflows for clients or internal operators across Flexport's platform - Own your product area end-to-end, from problem discovery through launch, adoption, and iteration - Partner with Engineering, Design, Sales, Operations, and other cross-functional teams to translate complex logistics workflows into clear, intuitive experiences - Use data to guide prioritization, measure impact, and identify opportunities - Develop analytics frameworks to track product health, user engagement, and business outcomes - Contribute to medium- and long-term product strategy, with opportunities to shape the future of the platform You should have: - 6+ years of product management experience, or other domain-relevant experience - Strong analytical and quantitative skills. You are comfortable working with complex datasets, building metrics frameworks, and using data to make decisions. SQL proficiency required - A track record of shipping intuitive UX in data-dense, complex domains - Experience building user-facing or operator-facing features that simplify multi-step workflows - Ability to collaborate deeply with designers, engineers, and commercial or operations teams - Excellent written and verbal communication skills, especially around tradeoffs and prioritization - Experience with B2B workflow software, supply chain platforms, or logistics technology is a plus Benefits: The range displayed on each job posting reflects the minimum and maximum target for new hire base salary for the position in the posting's respective region. Our salary ranges are determined by role, level, and location. Within the range displayed, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education and / or training. Base salary is just one part of our total rewards package at Flexport, which also includes bonus, equity, and comprehensive benefit offerings such as medical, dental, and flexible time off. The US base salary range for this position (this does not include bonus, equity and benefits): $155,520—$194,400 USD Commitment to Equal Opportunity At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law. Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at www.flexport.com/privacy for additional information.

🏢 Summary: Senior Technical Product Manager role focused on analytics products for conversational AI platforms, including data services, reporting tools, and AI-driven insights. The position involves defining product strategy, managing analytics roadmaps, and collaborating with engineering and data science teams to deliver scalable SaaS analytics solutions. Fully remote role with benefits, focused on enterprise-scale conversational data and analytics capabilities. 🗂️ Requirements: Bachelor's degree in Computer Science, Engineering, Business, or related field, 7+ years of product management experience, Experience with SaaS analytics and reporting products, Understanding of data warehousing and BI tools, Knowledge of high-scale data processing, Experience with event-driven architectures, Knowledge of cloud infrastructure, Experience developing product strategy and roadmaps, Strong analytical and data interpretation skills, Experience working with enterprise customers, Ability to collaborate with cross-functional technical teams 📃 Skills: SaaS, Analytics, ETL, BI, AI, ML, Cloud, SQL, Datawarehousing, Reporting, Visualization, KPIs 🏢 Description: Position Overview As a Senior Technical Product Manager, you will join the Analytics Product team and be responsible for the Analytics suite, including Data services, Analytics Studio, Report Center, and Data Transporter. The core responsibility is to define the strategy and execution for tools and services that leverage conversational data to provide actionable customer and internal insights. As the Senior Product Manager for Analytics, you will lead the development and execution of Analytics capabilities, focusing on leveraging conversational data to provide actionable customer and internal insights. You will collaborate closely with cross-functional teams, including Engineering, Data Science, Sales, and Customer Success, to define product strategy, prioritize features, and deliver innovative solutions that ensure scalability, reliability, and best-in-class experiences for brands. Key Responsibilities & Impact - Develop and articulate a clear product vision and strategy for the end-to-end Analytics platform, ensuring it empowers customers and internal teams to gain actionable insights from conversational data. - Define, review, and prioritize features for the Analytic Studio/Builder and Report Center, focusing on an intuitive user experience for data exploration, visualization, and report scheduling. - Manage the product roadmap for Data Services and Data Transporter, guaranteeing the timely, accurate, and scalable ingestion and preparation of petabyte-scale conversational data streams. - Work closely with Data Science and Engineering teams to integrate Conversational Intelligence (AI/ML-derived insights) features directly into the core analytics products. - Define and track key performance indicators (KPIs) and data quality metrics for all data pipelines and analytic tools, ensuring high data reliability, freshness, and tool usage. - Act as the primary interface between Analytics users (internal and external) and the Data Engineering teams, translating complex data requirements into clear, technical specifications. Required Skills & Qualifications - Bachelor's degree in Computer Science, Engineering, Business, or a related field (MBA preferred). - 7+ years of experience in product management, with a track record of successfully launching and managing SaaS analytics and reporting products or platforms. - Deep understanding of data warehousing, business intelligence (BI) tools, reporting systems, high-scale data processing, event-driven architectures, and cloud infrastructure. - Proven ability to develop and execute product strategy for data and analytics products, prioritize features, and drive product roadmap planning in a fast-paced, agile environment. - Strong analytical skills, with the ability to gather and interpret data, identify trends in product usage, and make data-driven decisions. - Excellent communication, collaboration, and leadership skills, with the ability to influence and inspire cross-functional teams. - Experience working with enterprise customers on their reporting and analytics needs. - Passion for innovation, creativity, and solving complex data and reporting challenges. Product Coverage Scope - Report Center & Analytic Studio/Builder: Tools for creating, visualizing, and sharing reports, dashboards, and custom analytics using conversational data. - Data Transporter & Data Services: Infrastructure and pipelines for extracting, transforming, and loading (ETL) large volumes of raw conversational data into analytical data stores. - Conversational Intelligence Analytics: Features that leverage AI/ML to derive insights from conversations, such as sentiment analysis, topic clustering, and intent detection. Salary The salary range for this role is between $110,000 to $125,000 USD. Benefits & Perks Health & Wellbeing - Medical, Dental, and Vision Insurance - Wellness resources and Employee Assistance Program (EAP) Financial Security & Growth - 401(k) retirement plan with employer match - HSA & FSA plans - Employee Stock Purchase Program (ESPP) - Additional insurance coverage options - Professional development resources Time Away & Family Support - Flexible Paid Time Off (PTO) - Paid public holidays - Generous parental leave policy Workplace Flexibility - Fully remote work model with optional collaborative workspace access Equal Opportunity Employer The company is committed to fostering an inclusive workplace and providing reasonable accommodations for applicants with disabilities.

🏢 Summary: Permanent Product Manager role focused on reimagining financial institutions’ operations by designing and launching AI-native solutions that replace legacy back-office workflows. The position owns the full product lifecycle and acts as a domain expert in regulated financial environments, driving ROI for enterprise clients. The role requires deep expertise in financial operations and building AI-powered automation from scratch. 🗂️ Requirements: 5+ years of product management experience, Experience in financial services operations (operational side of financial institutions), Experience building products for operations, risk, or compliance users, Experience owning full product lifecycle from discovery to launch, Ability to define and communicate ROI-driven value propositions for enterprise buyers, Strong customer discovery and validation skills, Experience working in regulated financial environments, Hands-on experience building AI-native workflows and automation 📃 Skills: AI, ProductManagement, FinancialServices, Operations, Compliance, Risk, Automation, Cursor, Copilot, Claude, Replit, AIagents, Scripting, Regulations, WorkflowAutomation 🏢 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: Financial institutions are full of operational pain points that haven't been meaningfully addressed in decades. Manual workflows, legacy tools, and inefficiency cost the industry billions. Your job is to go deep into how these institutions actually operate, identify the highest-impact friction points, and build AI-native solutions that fundamentally change the way things work. This isn't about wrapping AI around broken processes. It's about reimagining how these workflows should function when AI is the starting point. This is a domain-expert, permanent role (not a rotation) because customer relationships and regulatory knowledge compound over time. Your expertise is the moat. Key Responsibilities Discover and validate the highest-value operational pain points at financial institutions through deep customer engagement Design and build AI-native solutions from scratch: not incremental improvements to legacy workflows, but fundamentally new approaches Own the full product lifecycle: discovery, validation, build, launch, and iteration for each solution you bring to market Be the customer-facing domain expert: spend time with FI operations teams, understand their workflows at a granular level, and translate pain into product Define outcome-based value narratives for enterprise buyers: prove ROI in terms that CFOs and operations leaders care about Navigate regulatory complexity as a first-class product constraint: financial operations are heavily regulated, and compliance shapes the product, not the other way around Partner with platform teams to leverage shared AI infrastructure and capabilities Required Qualifications 5+ years in product management Experience in financial services operations you've worked in or built products for the operational side of financial institutions (not just consumer-facing apps) Built products where the user is an operations, risk, or compliance professional you understand back-office workflows at a granular level Experience defining ROI-driven narratives for enterprise buyers: you sell business outcomes, not feature lists Comfortable being the domain expert who educates engineering teams and peer PMs on industry nuance Strong discovery instincts you know how to find the real pain points, not just the ones customers articulate AI-native workflow: You build with AI daily — analyzing data, building prototypes, generating regulatory summaries, automating repetitive research. The specific tools don't matter (Cursor, Copilot, Claude, Replit, custom scripts — all count); what matters is that you've moved beyond prompting into building Preferred Skills Working knowledge of financial operations regulations (collections, fraud, compliance, lending): highly valued but learnable for candidates with adjacent financial services experience Financial institution experience Built AI-powered automation for back-office or operations workflows Experience with outcome-based or performance-based pricing models Experience identifying and validating new product opportunities through customer discovery Who you are? You're the person who has sat with operations teams at financial institutions and watched how they actually work: the spreadsheets, the manual queues, the workarounds that exist because nobody built them a real tool. You see friction that others accept as normal, and you immediately start thinking about what an AI-native solution looks like. You understand regulated environments viscerally. You don't treat compliance as a checkbox, you treat it as a design constraint that makes the product better. You've built products where a regulatory misstep isn't just a bug; it's a lawsuit. You're customer-facing and credible. Operations leaders at financial institutions trust you because you speak their language and understand their world. You can present ROI to a CFO and workflow details to an operations manager in the same meeting. You build your own tools. You use AI to analyze operational data, prototype solution workflows, generate regulatory requirement maps, and accelerate every aspect of your domain work — building agents, writing scripts, creating automated workflows, whatever gets the job done fastest. You see AI as both the product you're building and the way you build it. Our Values Act Like You're the Founder: Own the outcome from start to finish No Fear. Speak Your Mind: Candor moves us forward Pursuit of Excellence: Raise the bar, every time AI-First Mindset: Think automation, intelligence, and scale-first in every solution Don't Assume. Seek to Understand: Start with questions, not conclusions How We Work? Every PM builds with AI daily. Our standard toolkit is Cursor, MCP integrations, and custom AI agents — and we onboard every new hire on these tools in their first week. We hold a high quality bar and move at startup speed. Flat organization. No empire-building. Compensation Base Salary is expected to be between $175,000 - $225,000, plus 10%bonus and stock options. Exact compensation may vary based on skills and location. Benefits 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: Permanent Product Manager role focused on reimagining financial institution operations through AI-native solutions. The role involves identifying high-impact operational pain points and building end-to-end AI-driven products that replace legacy workflows in regulated banking environments. You will own the full product lifecycle and deliver ROI-driven solutions for enterprise financial institutions. 🗂️ Requirements: 5+ years product management experience, Experience in financial services operations, Experience building products for operations, risk, or compliance users, Experience owning full product lifecycle, Experience defining ROI-driven enterprise narratives, Strong customer discovery skills, Experience working in regulated financial environments, Hands-on use of AI tools for building prototypes and workflows 📃 Skills: AI, MachineLearning, Automation, ProductManagement, DataAnalysis, Prototyping, Compliance, FinTech, Cursor, Copilot, Claude, Replit 🏢 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: Financial institutions are full of operational pain points that haven't been meaningfully addressed in decades. Manual workflows, legacy tools, and inefficiency cost the industry billions. Your job is to go deep into how these institutions actually operate, identify the highest-impact friction points, and build AI-native solutions that fundamentally change the way things work. This isn't about wrapping AI around broken processes. It's about reimagining how these workflows should function when AI is the starting point. This is a domain-expert, permanent role (not a rotation) because customer relationships and regulatory knowledge compound over time. Your expertise is the moat. Key Responsibilities Discover and validate the highest-value operational pain points at financial institutions through deep customer engagement Design and build AI-native solutions from scratch: not incremental improvements to legacy workflows, but fundamentally new approaches Own the full product lifecycle: discovery, validation, build, launch, and iteration for each solution you bring to market Be the customer-facing domain expert: spend time with FI operations teams, understand their workflows at a granular level, and translate pain into product Define outcome-based value narratives for enterprise buyers: prove ROI in terms that CFOs and operations leaders care about Navigate regulatory complexity as a first-class product constraint: financial operations are heavily regulated, and compliance shapes the product, not the other way around Partner with platform teams to leverage shared AI infrastructure and capabilities Required Qualifications 5+ years in product management Experience in financial services operations you've worked in or built products for the operational side of financial institutions (not just consumer-facing apps) Built products where the user is an operations, risk, or compliance professional you understand back-office workflows at a granular level Experience defining ROI-driven narratives for enterprise buyers: you sell business outcomes, not feature lists Comfortable being the domain expert who educates engineering teams and peer PMs on industry nuance Strong discovery instincts you know how to find the real pain points, not just the ones customers articulate AI-native workflow: You build with AI daily — analyzing data, building prototypes, generating regulatory summaries, automating repetitive research. The specific tools don't matter (Cursor, Copilot, Claude, Replit, custom scripts — all count); what matters is that you've moved beyond prompting into building Preferred Skills Working knowledge of financial operations regulations (collections, fraud, compliance, lending): highly valued but learnable for candidates with adjacent financial services experience Financial institution experience Built AI-powered automation for back-office or operations workflows Experience with outcome-based or performance-based pricing models Experience identifying and validating new product opportunities through customer discovery Who you are? You're the person who has sat with operations teams at financial institutions and watched how they actually work: the spreadsheets, the manual queues, the workarounds that exist because nobody built them a real tool. You see friction that others accept as normal, and you immediately start thinking about what an AI-native solution looks like. You understand regulated environments viscerally. You don't treat compliance as a checkbox, you treat it as a design constraint that makes the product better. You've built products where a regulatory misstep isn't just a bug; it's a lawsuit. You're customer-facing and credible. Operations leaders at financial institutions trust you because you speak their language and understand their world. You can present ROI to a CFO and workflow details to an operations manager in the same meeting. You build your own tools. You use AI to analyze operational data, prototype solution workflows, generate regulatory requirement maps, and accelerate every aspect of your domain work — building agents, writing scripts, creating automated workflows, whatever gets the job done fastest. You see AI as both the product you're building and the way you build it. Our Values Act Like You're the Founder: Own the outcome from start to finish No Fear. Speak Your Mind: Candor moves us forward Pursuit of Excellence: Raise the bar, every time AI-First Mindset: Think automation, intelligence, and scale-first in every solution Don't Assume. Seek to Understand: Start with questions, not conclusions How We Work? Every PM builds with AI daily. Our standard toolkit is Cursor, MCP integrations, and custom AI agents — and we onboard every new hire on these tools in their first week. We hold a high quality bar and move at startup speed. Flat organization. No empire-building. Compensation Base Salary is expected to be between $175,000 - $225,000, plus 10%bonus and stock options. Exact compensation may vary based on skills and location. Benefits 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: Senior Technical Product Manager role focused on building and scaling analytics products for conversational AI data, including reporting tools, data services, and AI-driven insights. The position involves defining product strategy, managing analytics roadmaps, and collaborating with engineering and data science teams in a fully remote environment. 🗂️ Requirements: Bachelor's degree in Computer Science, Engineering, Business, or related field, 7+ years of product management experience, Experience launching and managing SaaS analytics and reporting products, Understanding of data warehousing and BI tools, Knowledge of reporting systems and high-scale data processing, Experience with event-driven architectures and cloud infrastructure, Ability to define product strategy and manage product roadmaps, Strong analytical and data-driven decision-making skills, Experience working in agile environments, Experience collaborating with Data Engineering and Data Science teams, Experience with enterprise customer reporting and analytics needs 📃 Skills: SaaS, Analytics, BI, ETL, AI, ML, SQL, Cloud, KPIs, Datawarehousing, Reporting, Visualization, Agile 🏢 Description: As a Senior Technical Product Manager, you will join the Analytics Product team and be responsible for the Analytics suite, including Data Services, Analytics Studio, Report Center, and Data Transporter. The role focuses on defining strategy and execution for tools and services that leverage conversational data to provide actionable customer and internal insights. Position Overview You will lead the development and execution of Analytics capabilities, collaborating with Engineering, Data Science, Sales, and Customer Success teams to define product strategy, prioritize features, and deliver scalable and reliable analytics solutions. Key Responsibilities & Impact - Develop and articulate a clear product vision and strategy for the end-to-end Analytics platform. - Define, review, and prioritize features for the Analytic Studio/Builder and Report Center. - Manage the product roadmap for Data Services and Data Transporter. - Ensure timely, accurate, and scalable ingestion and preparation of petabyte-scale conversational data streams. - Collaborate with Data Science and Engineering teams to integrate AI/ML-driven insights into analytics products. - Define and track KPIs and data quality metrics for data pipelines and analytic tools. - Translate complex data requirements into clear technical specifications. Required Skills & Qualifications - Bachelor's degree in Computer Science, Engineering, Business, or a related field (MBA preferred). - 7+ years of experience in product management with SaaS analytics and reporting products. - Deep understanding of data warehousing, BI tools, reporting systems, high-scale data processing, event-driven architectures, and cloud infrastructure. - Ability to define and execute product strategy in a fast-paced agile environment. - Strong analytical and communication skills. - Experience working with enterprise customers on analytics and reporting needs. - Passion for solving complex data and reporting challenges. Product Coverage Scope - Report Center & Analytic Studio/Builder: Tools for creating, visualizing, and sharing reports and dashboards. - Data Transporter & Data Services: ETL infrastructure and pipelines for conversational data. - Conversational Intelligence Analytics: AI/ML-powered insights such as sentiment analysis, topic clustering, and intent detection. Salary - Salary range: $110,000 to $125,000 USD. Benefits & Perks Health & Wellbeing - Medical, Dental, and Vision Insurance. - Wellness resources and Employee Assistance Program. Financial Security & Growth - 401(k) retirement plan with employer match. - HSA & FSA plans. - Employee Stock Purchase Program. - Life, disability, legal, and identity protection insurance. - Professional development resources. Time Away & Family Support - Flexible Paid Time Off. - Paid public holidays. - Generous parental leave policy. Workplace Flexibility - Fully remote work model with optional WeWork collaboration spaces. Equal Opportunity Employer The company is committed to fostering an inclusive workplace and providing equal employment opportunities for all qualified applicants. Accessibility Commitment Reasonable accommodations are available for applicants with disabilities.

🏢 Summary: Senior Product Manager role owning a critical product area within a global logistics platform, responsible for defining vision, roadmap, and delivering high-impact features. The position focuses on improving complex workflows for clients and internal operators, using data and analytics to drive prioritization and measurable business outcomes. This is a cross-functional role requiring strong analytical expertise and experience building intuitive solutions in data-dense domains. 🗂️ Requirements: 6+ years of product management or domain-relevant experience, Strong analytical and quantitative skills, Proficiency in SQL, Experience working with complex datasets and building metrics frameworks, Proven track record of shipping intuitive UX in complex, data-dense domains, Experience building user-facing or operator-facing workflow features, Ability to collaborate with engineering, design, sales, and operations teams, Excellent written and verbal communication skills 📃 Skills: SQL, Analytics, Metrics, UX, B2B, Logistics, Workflow, Data 🏢 Description: About Flexport: At Flexport, we believe global trade can move the human race forward. That's why it's our mission to make global commerce so easy there will be more of it. We're shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. The opportunity: We're looking for a Senior Product Manager to join Flexport's product team and own a critical part of how we serve clients and operators across global logistics. You'll define the vision and roadmap for your product area, ship features that drive measurable business outcomes, and collaborate with engineering, design, commercial, and operations teams to solve hard problems at scale. Flexport's platform powers every stage of global freight, from booking and pricing to visibility, customs, and delivery. The products you build will be used daily by logistics managers, supply chain leaders, freight operators, and internal teams who keep goods moving around the world. This is a high-impact role for someone who combines strong product instincts with deep analytical skills and comfort navigating complex domains. You will: - Define and deliver features that improve key workflows for clients or internal operators across Flexport's platform - Own your product area end-to-end, from problem discovery through launch, adoption, and iteration - Partner with Engineering, Design, Sales, Operations, and other cross-functional teams to translate complex logistics workflows into clear, intuitive experiences - Use data to guide prioritization, measure impact, and identify opportunities - Develop analytics frameworks to track product health, user engagement, and business outcomes - Contribute to medium- and long-term product strategy, with opportunities to shape the future of the platform You should have: - 6+ years of product management experience, or other domain-relevant experience - Strong analytical and quantitative skills. You are comfortable working with complex datasets, building metrics frameworks, and using data to make decisions. SQL proficiency required - A track record of shipping intuitive UX in data-dense, complex domains - Experience building user-facing or operator-facing features that simplify multi-step workflows - Ability to collaborate deeply with designers, engineers, and commercial or operations teams - Excellent written and verbal communication skills, especially around tradeoffs and prioritization - Experience with B2B workflow software, supply chain platforms, or logistics technology is a plus The US base salary range for this position (this does not include bonus, equity and benefits): $155,520—$194,400 USD

🏢 Summary: Design and build a modern data platform from scratch for an insurance client, covering architecture, data ingestion, modelling, and production operations. The role focuses on establishing a governed, scalable Snowflake-based environment to enable reliable reporting and AI capabilities. You will take ownership across the full data lifecycle, from requirements definition to deployment and maintenance. 🗂️ Requirements: Hands-on experience with Python, Proven experience with data warehouse solutions (BigQuery, Redshift or Snowflake), Experience with Databricks or data lakehouse platforms, Strong expertise in data modelling and ETL/pipeline design and maintenance, Experience with AWS, GCP or Azure cloud services, Ability to design and build data ingestion and processing pipelines, Experience working in Agile environment, Understanding of data governance and data quality concepts 📃 Skills: Python, SQL, Snowflake, BigQuery, Redshift, Databricks, Azure, AWS, GCP, Terraform, dbt, PowerBI, Spark, ETL, CI/CD 🏢 Description: We are #VLteam – tech enthusiasts constantly striving for growth. The team is our foundation, that’s why we care the most about the friendly atmosphere, a lot of self-development opportunities and good working conditions. Trust and autonomy are two essential qualities that drive our performance. We simply believe in the idea of ​​“measuring outcomes, not hours”. Join us & see for yourself! About the role The majority of these roles will be at the forefront of client collaboration and building VL positions in the industry (spearheading projects). You will work closely and directly with a different specialist from the client side. Collaborate with stakeholders to define requirements, develop data pipelines and data quality metrics. You will participate in defining the requirements and architecture for the new platform, implement the solution, and remain involved in its operations and maintenance post-launch Your work will also introduce data governance and management, laying the foundation for accurate and comprehensive reporting that was previously impossible. Build data ingestion & processing pipelines. All of the above with a strong focus on the customer’s needs. Flexibility in action and the ability to overcome obstacles are highly valued in this role. View available projects: Project Data Foundation & AI Enablement Project Scope We are architecting a modern Data Platform for a fast-scaling client in the Insurance sector. Our work consolidates fragmented legacy systems, organises data from a vast number of sources, and establishes a standardised, governed, and future-proof data foundation. We aim to unlock the full value of the company’s data, enabling faster, informed decision-making and providing the backbone for business growth and AI readiness. Tech stack SQL, Python, Snowflake, dbt, Data modelling, Data quality, Power BI, Azure, Terraform Challenges The primary objective is to deliver a robust data foundation and enable AI capabilities for a client that has grown organically. The work focuses on several key areas: Establishing a production-ready, fully operational Snowflake environment and driving operational excellence. Translating complex business logic into accurate data models to ensure the platform truly reflects business reality. Integrating diverse data sources to build reliable data products and comprehensive data dictionaries. Managing the full Data Engineering and Data Science lifecycle to support production ML and AI experimentation. Taking ownership from concept to deployment. Cultivating an engineering mindset by promoting automation, CI/CD, and rigorous standards. Team We are building a small (4-6 people), agile, cross-functional team capable of delivering the complete data platform, from initial architecture to production operations. Roles involved: DevOps, Data Engineer, Snowflake Specialist, MLOps/AI Engineer, Business Analyst (BA). The team will collaborate closely with business stakeholders to ensure effective knowledge transfer and strict alignment with strategic goals. Team The team is small but highly motivated, taking on a broad scope of responsibilities as the platform is built and expanded. What we expect in general A proactive approach and flexibility in action were a must Very good command of English (written and spoken) Hands-on experience with Python Proven experience with data warehouse solutions (e.g., BigQuery, Redshift, Snowflake) Experience with Databricks or data lakehouse platforms Strong background in data modelling, data catalogue concepts, data formats, and data pipelines/ETL design, implementation and maintenance Ability to thrive in an Agile environment, collaborating with team members to solve complex problems with transparency Experience with AWS/GCP/Azure cloud services, including: GCS/S3/ABS, EMR/Dataproc, MWAA/Composer or Microsoft Fabric, ADF/AWS Glue Experience in ecosystems requiring improvements and the drive to implement best practices as a long-term process Experience with Infrastructure as Code practices, particularly Terraform, is an advantage Proactive approach Don’t worry if you don’t meet all the requirements. What matters most is your passion and willingness to develop. Apply and find out! A few perks of being with us Building tech community Flexible hybrid work model Home office reimbursement Language lessons MyBenefit points Private healthcare Training Package Virtusity / in-house training And a lot more! Apply now