Senior Software Engineer

🏢 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: 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: Opportunity for a Lead Full Stack Engineer to provide technical leadership while building scalable, high‑performance applications using the Microsoft stack and modern cloud architecture. The role combines hands-on full stack development with active adoption of AI-assisted engineering practices across the SDLC. You will drive engineering excellence, mentor teams, and integrate AI capabilities into products and internal tools. 🗂️ Requirements: 7+ years experience with Microsoft stack (.NET, C#, SQL Server, T-SQL), Strong experience with .NET Core and Angular, Proficiency in JavaScript, HTML, CSS, Experience with Git, Experience designing scalable and maintainable systems, Knowledge of SOLID principles and design patterns, Experience with microservices architecture, Experience with Azure or other cloud platforms, Experience working in Scrum environments, Hands-on use of GenAI tools (Copilot, ChatGPT, Cursor) in SDLC, Experience integrating LLM APIs or AI capabilities into applications, Understanding of AI risks, testing, reviews, and compliance guardrails 📃 Skills: .NET, C#, SQL, T-SQL, .NETCore, Angular, JavaScript, HTML, CSS, Git, Azure, Microservices, SOLID, GenAI, LLM, Copilot, ChatGPT, Cursor 🏢 Description: About the Client: The Client provides comprehensive operational support and a range of expert services to the world’s leading insurers, brokers, fleet managers and automotive manufacturers. 3,300 employees across ten countries deliver exceptional standards on a large scale for over 1,200 clients. We help the global insurance market to handle millions of claims each year in the most cost-effective and efficient ways possible. The Client is embarking on an exciting and challenging transformation program and our software solutions are a driving force behind this strategy using cloud computing and leading-edge design patterns. Short Role Description: This is a great opportunity for an experienced Lead Full Stack Engineer to join our Software Development team as part of one of our established Scrum teams. Each agile team includes technical leadership, development, architecture, QA, product, and project management roles. We are looking for a strong engineering leader who combines deep hands-on development expertise with an AI-first mindset. This role requires an AI Champion — someone who actively applies AI tools across the Software Development Life Cycle and helps elevate engineering productivity, quality, and delivery standards through practical and responsible AI adoption. You will not only build high-performance applications, including high-traffic customer-facing platforms, but also act as a multiplier for engineering excellence by introducing modern practices, tools, and ways of working. Responsibilities: Provide technical leadership, mentorship, and hands-on support to engineers within the team. Design, develop, test, document, and maintain scalable backend and frontend solutions. Deliver high-quality, reusable, and maintainable code aligned with best engineering practices. Actively apply AI-assisted development approaches across design, coding, testing, and debugging. Drive improvements in engineering efficiency, quality, and delivery through practical AI usage. Produce clear and structured technical documentation. Provide realistic estimates and manage delivery timelines effectively. Participate in all Scrum ceremonies and contribute to team performance and continuous improvement. Coach teams on effective usage of GenAI tools and promote AI-first engineering culture. Requirements: 7+ years of experience with Microsoft development stack (.NET / C# / SQL Server / T-SQL). Strong experience with .NET Core, Angular, JavaScript, HTML, CSS, Git. Hands-on experience designing scalable and maintainable systems. Solid understanding of SOLID principles, design patterns, and microservices architecture. Experience working with cloud platforms (Azure preferred). Strong experience working in Scrum environments across different team setups. AI & Engineering Excellence Requirements: Proven hands-on experience using GenAI tools (e.g., Copilot, ChatGPT, Cursor, etc.) to improve development speed, code quality, testing, debugging, and documentation. Practical experience integrating LLM APIs or AI capabilities into applications or internal tools. Understanding of AI limitations, risks, and guardrails (testing, reviews, policies, compliance). Ability to introduce new tools and practices, influence teams, and scale adoption across engineering. Nice to Have: Experience building internal developer productivity tools or engineering automation solutions. Exposure to performance, scalability, and security requirements for large-scale platforms. Personal Attributes: Self-organising problem solver. Able to think outside the box (open thinking). Strong ability to work effectively in a team. Collaborating, motivating and energizing others (Team player). Encourage and drive others to deliver high-quality, cutting-edge software. You will have attention to detail and have a proactive ethos. Always looking for continuous improvement. Excellent verbal and written communication skills, in English. We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits

🏢 Summary: End-to-end software engineering role focused on building and shipping high-quality product features across frontend and backend in a fast-moving, autonomous team. The position emphasizes pixel-perfect UI/UX, strong architectural thinking, and full ownership from design to deployment. Engineers operate with high trust and direct impact on a learning and research-focused product. 🗂️ Requirements: Expert-level software engineering experience, Strong proficiency in TypeScript, Experience with SvelteKit for frontend development, Experience with Node.js for backend development, Experience with Fastify, Experience with PostgreSQL, Experience with DDD patterns, Experience with CQRS patterns, Experience with Playwright for testing, Ability to build pixel-perfect UI implementations, Ability to design and ship end-to-end features across frontend and backend, Experience working with queues, Basic proficiency in Python for ML components 📃 Skills: TypeScript, SvelteKit, Tailwind, DaisyUI, Playwright, Node.js, Fastify, PostgreSQL, Python, DDD, CQRS, Queues 🏢 Description: ABOUT THE ROLE We're looking for an expert software engineer with an exceptional eye for UI/UX to join a small, high-trust engineering team. You'll own features end-to-end — from pixel-perfect frontend work to shipping backend functionality when needed. This is not a siloed role. You'll move fast, make real decisions, and have direct impact on a product used by people who care deeply about learning and research. We don't have managers. We have engineers who own their work. TECH STACK The stack is heavily TypeScript. On the frontend: SvelteKit, Tailwind, DaisyUI, and Playwright, with DDD and CQRS patterns. On the backend: Node.js, Fastify, PostgreSQL, and queues. ML components are in Python. The stack is pragmatic, not dogmatic — tools may shift as the product evolves. WHAT WE LOOK FOR Elite communication You set accurate expectations and live up to them. No surprises, no ambiguity about status or blockers. Deep resilience Bugs, crises, tough reviews — you have a large buffer before stress impacts your output. You don't crack under pressure. No ego We're here to build something great, not to manage insecurities. The best idea wins, regardless of who had it. Product mastery You understand the engineering principles behind the best software ever made — and care deeply about the difference between good and great. Independent and obsessive by nature You go deep on everything you touch. You're a lifelong learner who can't help but care about quality. Being an ex-founder is a bonus. ENGINEERING CULTURE Optional code reviews We trust you. Merge when you're ready. Ask for a second pair of eyes when you want one. Radical autonomy We don't second-guess your decisions. You own the call. High-bandwidth collaboration Constant communication means everyone has context without formal gates or status meetings. Direct feedback Code reviews are blunt, concise, and respectful. We say what we mean. Ruthless efficiency We aggressively adopt any tool — AI included — that increases speed and leverage. Limited frontend test coverage Supplemented by strong architecture and top talent, not bureaucratic QA processes. RECRUITMENT PROCESS Recruiter screening — a short intro call to align on basics. 1-on-1 with the engineering lead — a conversation about how you think and work. Technical challenge (~4 hours) — use AI, Google, or any resource you need. We care about the result, not the method. One-month paid contract — with the possibility to extend indefinitely. Honest, frequent feedback throughout so you always know where you stand. COMPENSATION & BENEFITS Salary $100,000 – $150,000 depending on experience. Equity and profit share Core team members receive both equity and profit share as part of the compensation package. Unlimited PTO Use your own judgement — we won't count days. Steep learning curve You'll grow faster here than almost anywhere else — by design, not accident. Real ownership No managers capping your authority. You own your work end-to-end, with the full trust of the team behind you.

🏢 Summary: Full-stack Engineer role building and shipping end-to-end features for a health-tech AI product, covering internal clinician tooling and a client-facing app. The position involves integrating diagnostics, wearable and lab data, and leveraging AI coding agents as a core part of the development workflow. Engineers are expected to own architecture decisions, security, and delivery across the full stack in a fast-moving remote environment. 🗂️ Requirements: 4+ years professional software engineering experience, At least two shipped products used by real users, Strong Computer Science fundamentals (data structures, systems, software design), Experience with both backend and frontend development, Daily use of AI coding agents in development workflow, Experience with strict typing, linting, and automated testing, Ability to design and implement secure architectures, Availability during Central European morning hours, Fluent English for technical communication 📃 Skills: Fullstack, Backend, Frontend, APIs, Security, AI, Testing, Linting, Typing, Databases, Wearables, Integration 🏢 Description: 💰 Salary: $5,000-$7,000/month (depending on seniority) 🌎 100% remote 🕦 Full-time position, long-term ☑️ B2B contract We are looking for a Full-stack Engineer to join our client, a Singapore-headquartered health-technology and AI startup focused on longevity and preventative care. The product combines diagnostics, wearable signals, lab data, and AI to coordinate personalised health programmes for individual clients. You will own features end-to-end across two surfaces: internal tooling used by in-house clinicians to assemble recommendations, and the client-facing app that turns those recommendations into daily actions. AI coding agents are part of the daily workflow, and every engineer is expected to push what these tools can do, not treat them as autocomplete. The tech stack is intentionally not fixed; the bar is engineering judgement and shipping speed. Requirements 4+ years of professional software engineering experience, with at least two products shipped to real users Computer Science background, or an equivalent track record that shows the same depth in data structures, systems, and applied software design Strong fundamentals across both server and client work, regardless of which language or framework you used most recently Daily use of AI coding agents in your workflow, with an honest read on where they currently help and where they fail Comfort with strict typing, linting, automated tests, and the rest of a modern production setup Reliable availability during Central European morning hours, so meetings line up with Singapore afternoons Fluent English for technical discussions and written documentation Responsibilities Build and ship features across the full stack, from schema design through to the final UI details Develop the internal dashboards used by medical practitioners to interpret client data and assemble recommendations Develop the client-facing application that delivers daily health guidance to end users Design and tune the security posture separately for internal practitioner tooling and external consumer surfaces Integrate inputs from wearables, lab providers, and the physical clinic environment into one coherent product Push the AI tooling stack hard, both as part of the development process and inside product features Operate as a product-minded engineer: spot problems early, propose solutions, and drive them through to release Get to know DevsData We are a technology consulting company and a recruitment agency, delivering software solutions to clients from Europe and the US. We work 100% remotely, in an international team. We employ people with experience in international corporations as well as the ones from the best technical and business universities. Find out more: https://devsdata.com

🏢 Summary: Senior Product Manager role owning a multi-product AI banking suite (chat, voice, and digital) used by financial institutions, driving product direction, optimization, and growth across a shared AI platform. Responsible for scaling AI-powered member experiences, improving automation quality, and aligning multi-channel products into a seamless system. Acts as senior individual contributor leading portfolio strategy and leveraging AI-native workflows to manage and enhance product performance. 🗂️ Requirements: 8+ years product management experience, 3+ years managing multiple products simultaneously, Experience shipping AI-powered products where AI is core, Experience optimizing and growing B2B SaaS products, Strong UX expertise for member-facing products, Experience presenting to US financial institution executives, Experience leading product direction as senior IC, Hands-on use of AI tools for analytics, automation, and workflows, Experience with multi-channel products (chat, voice, digital), Experience building or working with custom AI agents or AI workflows 📃 Skills: AI, SaaS, UX, VoiceAI, ConversationalAI, Automation, Analytics, Dashboards, Agents, MCP, Cursor, Copilot, Claude, Replit, Scripts, APIs 🏢 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: You're taking ownership of the product portfolio that drives the majority of interface.ai's current revenue: a multi-product AI suite spanning chat, voice, and digital channels, deployed across a large and growing base of financial institutions. This is an operator's challenge at a critical growth moment. Assess health across products, prioritize ruthlessly, and drive improvements that compound across the entire suite. The products share a common AI platform, and your job is to make them work together seamlessly while pushing each product's metrics higher. You'll be the senior IC and product anchor for the member-facing product pillar, setting product direction, mentoring peer PMs, breaking ties, and ensuring the existing products continue to deliver while the company invests in the future. Key Responsibilities AI-powered digital banking: The chat-based member experience, covering account management, transactions, service resolution, and more AI-powered voice banking: The same core capabilities delivered through phone-based conversational AI, with a focus on automation quality and member experience AI-powered conversion: End-to-end workflows that guide members through applications and complex financial actions across chat and voice, turning intent into completionProactive intelligence: How the platform surfaces the right information, reminders, insights, and opportunities to members at the right time across all channels Pillar leadership: Set product direction for the member-facing pillar. Mentor PMs, have input on hiring, and raise the quality bar Required Qualifications 8+ years in product management, with 3+ years managing multiple products simultaneously (not sequentially) Experience shipping "AI-powered products with a high quality bar" where AI was core to the experience, not a bolt-on feature Strong UX sensibility member-facing products demand high craft quality Track record optimizing and growing existing B2B SaaS products, not just 0-to-1 building Customer-facing: comfortable presenting to and working with US-based financial institution executives Experience as a senior IC leading a product line setting direction for and mentoring 2-3+ PMs through influence (not people management) AI-native workflow: You build with AI daily — analyzing user data, drafting specs, building dashboards, automating workflows. 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. This is how you manage the breadth of a multi-product portfolio without drowning in it. Preferred Skills Voice AI or conversational AI product experience Financial services or financial institution industry knowledge Built AI-powered products at scale (millions of end users) Experience with multi-channel product experiences (voice + chat + digital) Built custom AI agents, MCP integrations, or automated AI workflows for product management tasks Who you are? You're the operator who walks into a multi-product portfolio and within weeks knows exactly which product is healthy, which is underperforming, and which metric to move first. You don't just manage products, you manage a *system* of products that share infrastructure, serve overlapping users, and compound in value when they work together. You've been the person that enterprise customers trust. You can walk into a room of financial institution executives, understand their pain in the first ten minutes, and translate it into a product improvement by the end of the week. You balance customer empathy with business discipline: you won't build something just because a customer asks, but you'll never dismiss a pain point without investigation. You build your own tools and workflows. You use AI to track portfolio health, analyze usage patterns at scale, prototype product improvements, and automate the parts of product management that don't require human judgment — building agents, creating automated workflows, writing scripts, whatever makes the work faster. You manage a multi-product portfolio at a pace that would be impossible without AI, and that's the point. 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 $250,000 - $320,000, plus 10%bonus and stock options. Exact compensation may vary based on skills and location. We're an in-office company in Bay area, driven by a shared commitment to excellence and velocity. This role is based in our Palo Alto office and is expected to work on-site with the team. 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: Staff Data Analyst role focused on building and leading advanced analytics strategy to drive customer insights, predictive modeling, and AI-enabled decision-making. The position involves designing semantic data models, co-creating scalable data pipelines, and delivering high-impact dashboards and command center solutions. You will leverage cloud and big data technologies to enable data-driven strategy across cross-functional teams. 🗂️ Requirements: BS in Computer Science, MIS or related technical degree, 7+ years experience in Data Analyst, Data Engineer or BI Developer role, Advanced SQL proficiency, Experience building reports and dashboards in Tableau or similar tools, Experience with ETL processes and data pipeline development, Programming experience in Python and Java, Experience working with Databricks and Snowflake, Experience with predictive modeling and advanced analytics, Ability to design data models and semantic layers, Experience collaborating with Engineering on scalable data solutions 📃 Skills: SQL, Python, Java, Databricks, Snowflake, Tableau, ETL, AI, ML, NLP, BI, DataModeling, PredictiveModeling, Cloud, Telemetry 🏢 Description: Secure Every Identity, from AI to HumanIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.The Data & Insights Team Okta’s Enterprise Data & Insights team empowers data-driven decision making across the company by delivering trusted analytics, insights, and tools. We partner closely with teams such as Marketing, Sales, Finance, Product, and Customer First to unlock business value through data strategy, scalable solutions, and impactful storytelling. The Staff Data Analyst Opportunity We are looking for a Staff Data Analyst who has a passion for driving decisions and insights through data to join the Enterprise Data & Insights team. You will be successful if you are detail-oriented, analytical, like solving big problems, connecting dots, understanding business challenges and determining options to solve using data, and can effectively communicate with team members and business partners. In this role, you will be key in creating the foundation for data-based decision-making across Okta's functional business teams and will work with internal customers to identify ways to effectively leverage data using cutting edge cloud and big data technologies to drive business insights. What you’ll be doing Serve as the definitive SME for Customer First analytics, defining the data models, metrics, and value drivers that steer company strategy. Lead the exploration and integration of AI-driven tools to automate workflows and pioneer new methodologies for data discovery, including defining the foundational semantic models that power our AI agents. Architect the analytics strategy for customer insights, leveraging product telemetry and public data to identify and predict risk and growth signals. Own the vision for our semantic layer, ensuring it supports advanced modeling, self-service, and high-integrity dashboarding. Participate in high-impact initiatives in predictive modeling (cross-sell, churn, LTV) that directly influence GTM execution. Partner with leadership and account teams to translate raw insights into a high-impact, action oriented Command Center, empowering account teams to instantly prioritize and execute on the most urgent opportunities and risks. Partner with Engineering to co-design data pipelines and transformations that ensure long-term scalability and data quality. Set the bar for excellence in data storytelling and modeling, mentoring the broader team on best practices and process improvement. What you’ll bring to the role BS in CS, MIS, related technical degree 7+ years experience as a Data Analyst/Data Engineer/BI Developer Advanced SQL experience Excellent communication skills, both written and verbal, ability to work with all levels of the organization Provide thought leadership on the evolution of our analytics maturity, moving beyond traditional descriptive dashboards toward predictive, AI-enabled solutions that utilize NLP and deep analysis to drive proactive decision-making Experience with building reports and visualizations to represent data intuitively in Tableau or similar data visualization tools Advanced analytics, data science, AI/ML experience and techniques are a plus Ability to work cross-functionally and communicate with technical and non-technical teams Experience with ETL processes, software development, and lifecycle awareness, using Python, Java, Databricks, and Snowflake Excellent time management and prioritization skills What you can look forward to as an Okta employee! Amazing Benefits Making Social Impact Fostering Diversity, Equity, Inclusion and Belonging at Okta Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/. Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/. ir needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/. Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/. #LI-HM2 #LI-Hybrid P24716_3407508The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $152,000—$190,000 USDBelow is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us. The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$136,000—$170,000 USDThe Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.