Senior Product Manager - Financial Solutions

🏢 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 platform product role owning the AI infrastructure powering multi-agent banking assistants across voice and digital channels. Responsible for defining technical direction, model lifecycle, orchestration, performance, safety, and platform contracts to scale to millions of users. Acts as a senior IC setting standards for AI-native, enterprise-grade, multi-tenant systems. 🗂️ Requirements: 8+ years product management experience, 3+ years at Staff/Principal level on platform, AI/ML, or infrastructure products, Experience owning multi-component platform used by multiple product teams, Ability to read code, review architecture, and debug production issues, Experience with LLM orchestration, evaluation, and fine-tuning pipelines, Experience defining and governing APIs, versioning, and platform contracts, Experience in enterprise SaaS with multi-tenant and compliance requirements, Knowledge of inference optimization and latency management for real-time systems 📃 Skills: LLM, RAG, RLHF, RLAIF, APIs, ASR, TTS, Python, Quantization, Encryption, SOC2, GDPR, Cursor, Copilot 🏢 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.Company: interface.ai Location: Palo Alto, CA (In-Office) Reports to: VP of Product Compensation: $250,000 - $320,000 base salary + bonus + equity (depending on location & experience) About interface.ai Banking hasn't kept up with how people actually live their financial lives. At interface.ai, we're building AI-native products that transform how millions of Americans interact with their financial institutions, making every interaction intelligent, personal, and proactive.Our platform powers AI agents that handle real banking tasks end-to-end: moving money, resolving issues, converting loans, and surfacing financial insights across voice, chat, and digital channels. We're not building another chatbot. We're building the AI infrastructure that will become the primary way people bank, unlocking a massive market opportunity by displacing the legacy systems that financial institutions have been stuck with for decades. With two-thirds of Americans living paycheck to paycheck, only 17% financially literate, and 50% holding less than $500 in savings, the urgency is real. We're putting financial well-being on autopilot. We power AI agents for 100+ financial institutions, serving millions of banking members across the U.S., and are backed by leading investors including Avataar Venture Partners and Blume Ventures. Our platform enables banks and credit unions to automate high-volume customer interactions across voice and digital channels while improving resolution rates, reducing operational costs, and increasing customer engagement. Key credibility anchors: Series B AI company building agentic AI infrastructure for financial institutions Trusted by 100+ banks and credit unions across North America Serving millions of end users through conversational AI across voice, chat, and mobile channels The Opportunity You will own the AI platform that every product at the company depends on. This is not a support function: the platform is the competitive moat. Your decisions directly determine the ceiling of what every other product team can build. You'll inherit a multi component platform, assess what exists, and define what comes next: what to consolidate, what to invest in, what to sunset. As the senior IC in a pillar of 3-4PMs, you'll set technical direction, mentor, and raise the quality bar, while partnering with engineering leadership to scale the system to millions of end users at startup speed. What You'll Own Agent runtime & orchestration: multi-agent orchestration, memory/context management, tool routing, goal planning, and policy-aligned behavior Platform contracts: APIs, versioning, deprecation, and migration strategy: you define the boundaries and the lifecycle for all consuming teams Model lifecycle: selection, evaluation, benchmarking, fine-tuning enablement, and prompt optimization. You define when to prompt-tune vs fine-tune vs switch models. Inference performance & reliability: latency budgets, caching, batching, quantization, multi-region deployments, fallbacks, and safe rollout patterns (canaries, feature flags, rollback) Safety & compliance: PII detection/masking, prompt/response safety policies, tenant isolation, SOC2/GDPR readiness, audit logs, and encryption: compliance is a product requirement, not an afterthought Evaluation & quality: offline golden sets, regression testing, hallucination measurement, task success metrics, and production-to-improvement feedback loops Voice & multimodal: ASR/TTS integration patterns, WER, interruption handling, turn-taking, and latency budgets for real-time conversational intelligence Pillar leadership: You set technical direction, mentor, raise the bar, and have input on hiring. You prioritize competing demands from multiple product pillars, define the platform investment thesis, and protect the platform from becoming a feature factory. Who You Are You think in systems, not features. You read a platform outage postmortem and immediately see the product decision that caused it. You've built API contracts that entire product orgs depend on, and you've made the hard call to break one when the platform needed to evolve. You understand the full AI stack: from model training through inference optimization to production monitoring. You can spec a fine-tuning pipeline, set latency budgets for real-time voice, and debate quantization trade-offs with a staff engineer, all in the same week. You build your own tools. You use AI to prototype, analyze, and accelerate your work — building agents, writing scripts, creating automated workflows, whatever gets the job done fastest. Not because someone told you to, but because you can't imagine working any other way. What You Bring 8+ years in product management, with 3+ years at Staff/Principal level on platform, AI/ML, or infrastructure products Owned a multi-component platform serving multiple product teams, not just a single product Deep technical fluency: can read code, review architecture, and debug production issues alongside engineers Experience with AI/ML platforms: LLM orchestration, model evaluation, fine-tuning, RAG, agentic frameworks, or similar Experience governing platform contracts and managing how internal teams consume capabilities Built in enterprise SaaS environments with multi-tenant, compliance, and governance requirements AI-native workflow: You build with AI daily — creating agents, automating analyses, prototyping with code, building custom 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. Bonus Points Financial services or regulated industry experience Voice/ASR/TTS systems and real-time latency-sensitive products LLM evaluation frameworks, multi-agent orchestration, or RLHF/RLAIF Knowledge graph or RAG-based retrieval systems Built a platform team from scratch 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. What We Offer 100% company-paid medical, dental, and vision coverage 401(k) with company match and financial wellness perks Discretionary PTO + paid parental leave Mental health, wellness, and family benefits Competitive equity with meaningful upside 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 platform product leader role owning the AI infrastructure powering a universal banking assistant used by millions. Responsible for defining and scaling multi-agent orchestration, model lifecycle, platform APIs, inference performance, and compliance across voice and digital channels. Sets technical direction for the AI platform, enabling product teams to build on a secure, reliable, and high-performance foundation. 🗂️ Requirements: 8+ years product management experience, 3+ years at Staff/Principal level on platform, AI/ML, or infrastructure products, Experience owning multi-component platform serving multiple teams, Ability to read code and review system architecture, Experience with LLM orchestration and model evaluation, Experience defining and governing platform APIs and contracts, Experience in enterprise SaaS with multi-tenant architecture, Knowledge of inference optimization and latency management, Experience with compliance and security in regulated environments 📃 Skills: LLM, RAG, RLHF, APIs, Microservices, Python, ASR, TTS, Quantization, Fine-tuning, Orchestration, Multi-agent, Benchmarking, Encryption, SOC2, GDPR, Cursor, Copilot 🏢 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.Company: interface.ai Location: Palo Alto, CA (In-Office) Reports to: VP of Product Compensation: $250,000 - $320,000 base salary + bonus + equity (depending on location & experience) About interface.ai Banking hasn't kept up with how people actually live their financial lives. At interface.ai, we're building AI-native products that transform how millions of Americans interact with their financial institutions, making every interaction intelligent, personal, and proactive.Our platform powers AI agents that handle real banking tasks end-to-end: moving money, resolving issues, converting loans, and surfacing financial insights across voice, chat, and digital channels. We're not building another chatbot. We're building the AI infrastructure that will become the primary way people bank, unlocking a massive market opportunity by displacing the legacy systems that financial institutions have been stuck with for decades. With two-thirds of Americans living paycheck to paycheck, only 17% financially literate, and 50% holding less than $500 in savings, the urgency is real. We're putting financial well-being on autopilot. We power AI agents for 100+ financial institutions, serving millions of banking members across the U.S., and are backed by leading investors including Avataar Venture Partners and Blume Ventures. Our platform enables banks and credit unions to automate high-volume customer interactions across voice and digital channels while improving resolution rates, reducing operational costs, and increasing customer engagement. Key credibility anchors: Series B AI company building agentic AI infrastructure for financial institutions Trusted by 100+ banks and credit unions across North America Serving millions of end users through conversational AI across voice, chat, and mobile channels The Opportunity You will own the AI platform that every product at the company depends on. This is not a support function: the platform is the competitive moat. Your decisions directly determine the ceiling of what every other product team can build. You'll inherit a multi component platform, assess what exists, and define what comes next: what to consolidate, what to invest in, what to sunset. As the senior IC in a pillar of 3-4PMs, you'll set technical direction, mentor, and raise the quality bar, while partnering with engineering leadership to scale the system to millions of end users at startup speed. What You'll Own Agent runtime & orchestration: multi-agent orchestration, memory/context management, tool routing, goal planning, and policy-aligned behavior Platform contracts: APIs, versioning, deprecation, and migration strategy: you define the boundaries and the lifecycle for all consuming teams Model lifecycle: selection, evaluation, benchmarking, fine-tuning enablement, and prompt optimization. You define when to prompt-tune vs fine-tune vs switch models. Inference performance & reliability: latency budgets, caching, batching, quantization, multi-region deployments, fallbacks, and safe rollout patterns (canaries, feature flags, rollback) Safety & compliance: PII detection/masking, prompt/response safety policies, tenant isolation, SOC2/GDPR readiness, audit logs, and encryption: compliance is a product requirement, not an afterthought Evaluation & quality: offline golden sets, regression testing, hallucination measurement, task success metrics, and production-to-improvement feedback loops Voice & multimodal: ASR/TTS integration patterns, WER, interruption handling, turn-taking, and latency budgets for real-time conversational intelligence Pillar leadership: You set technical direction, mentor, raise the bar, and have input on hiring. You prioritize competing demands from multiple product pillars, define the platform investment thesis, and protect the platform from becoming a feature factory. Who You Are You think in systems, not features. You read a platform outage postmortem and immediately see the product decision that caused it. You've built API contracts that entire product orgs depend on, and you've made the hard call to break one when the platform needed to evolve. You understand the full AI stack: from model training through inference optimization to production monitoring. You can spec a fine-tuning pipeline, set latency budgets for real-time voice, and debate quantization trade-offs with a staff engineer, all in the same week. You build your own tools. You use AI to prototype, analyze, and accelerate your work — building agents, writing scripts, creating automated workflows, whatever gets the job done fastest. Not because someone told you to, but because you can't imagine working any other way. What You Bring 8+ years in product management, with 3+ years at Staff/Principal level on platform, AI/ML, or infrastructure products Owned a multi-component platform serving multiple product teams, not just a single product Deep technical fluency: can read code, review architecture, and debug production issues alongside engineers Experience with AI/ML platforms: LLM orchestration, model evaluation, fine-tuning, RAG, agentic frameworks, or similar Experience governing platform contracts and managing how internal teams consume capabilities Built in enterprise SaaS environments with multi-tenant, compliance, and governance requirements AI-native workflow: You build with AI daily — creating agents, automating analyses, prototyping with code, building custom 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. Bonus Points Financial services or regulated industry experience Voice/ASR/TTS systems and real-time latency-sensitive products LLM evaluation frameworks, multi-agent orchestration, or RLHF/RLAIF Knowledge graph or RAG-based retrieval systems Built a platform team from scratch 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. What We Offer 100% company-paid medical, dental, and vision coverage 401(k) with company match and financial wellness perks Discretionary PTO + paid parental leave Mental health, wellness, and family benefits Competitive equity with meaningful upside 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 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: Strategic Staff Product Manager role focused on building and scaling integration strategy for an AI-native banking platform, owning the roadmap, architecture direction, and packaging of integrations across core banking systems, contact center platforms, and data providers. The role drives technical execution and go-to-market impact by turning integrations into a competitive product advantage. You will work cross-functionally to evaluate APIs, define integration architecture, and enable new customer segments through scalable integration frameworks. 🗂️ Requirements: 7+ years in product management, 3+ years in integrations, platform partnerships, or API products, Experience building integration packages or partner ecosystems, Ability to evaluate banking APIs and integration architectures, Experience with contact center integrations and data exchange protocols, Experience defining and managing integration roadmaps, Experience influencing go-to-market strategy through product capabilities, Hands-on use of AI tools for workflow automation and analysis 📃 Skills: APIs, Integrations, Architecture, Banking, CCaaS, Data, AI, Automation, Scripting, 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.Staff Product Manager, Integrations Strategy Company: interface.ai Location: Remote-friendly (Palo Alto, CA preferred) Reports to: VP of Product Compensation: $190,000 - $250,000 base salary + bonus + equity (depending on location & experience) About interface.ai Banking hasn't kept up with how people actually live their financial lives. At interface.ai, we're building AI-native products that transform how millions of Americans interact with their financial institutions, making every interaction intelligent, personal, and proactive. Our platform powers AI agents that handle real banking tasks end-to-end: moving money, resolving issues, converting loans, and surfacing financial insights across voice, chat, and digital channels. We're not building another chatbot. We're building the AI infrastructure that will become the primary way people bank. With two-thirds of Americans living paycheck to paycheck, only 17% financially literate, and 50% holding less than $500 in savings, the urgency is real. We're putting financial well-being on autopilot, starting with the community financial institutions that serve everyday Americans. We power AI agents for 100+ financial institutions, serving millions of banking members across the U.S., and are backed by leading investors including Avataar Venture Partners and Blume Ventures. Our platform enables banks and credit unions to automate high-volume customer interactions across voice and digital channels while improving resolution rates, reducing operational costs, and increasing customer engagement. Key credibility anchors: Series B AI company building agentic AI infrastructure for financial institutions Trusted by 100+ banks and credit unions across North America Serving millions of end users through conversational AI across voice, chat, and mobile channels The Opportunity At interface.ai, integrations aren't plumbing. They're a product. The depth of our integration layer directly determines what our AI can do for customers and how sticky the platform becomes. This is a strategic role reporting directly to the VP of Product. You decide which integrations to build, how to package them, and how they drive business outcomes. You also drive the technical execution, not just the strategy. What You'll Own Transform integrations from a technical function into a product-driven competitive advantage: integrations should open doors, not block deals Build and manage integration packages: pre-built bundles for specific customer segments that dramatically reduce time-to-live for new customers Define segment-specific integration strategies: which integrations unlock which customer segments and why Evaluate, prioritize, and manage the integration roadmap across core banking systems, contact center platforms, and data providers Design certification and testing programs that ensure integration quality, reliability, and partner confidence Influence go-to-market strategy through integration capabilities: your roadmap directly enables new deals and new segments Define integration architecture for new product lines: your strategic planning ensures the right integrations are in place as new products launch. You remain the integration authority throughout. Who You Are You see integrations the way a chess player sees the board: each one opens up new moves, and the right sequence creates a position that's hard to replicate. You've watched deals die because an integration wasn't ready, and you've seen firsthand how deep integrations become the reason customers stay and expand. You're equally comfortable in a technical architecture review and a sales deal review. You can evaluate a banking API spec and then explain to a GTM team why this integration unlocks a $50M customer segment. You translate between engineering ("this requires a new adapter pattern") and business ("this means we can close the top 3 pipeline deals"). You build your own tools. You use AI to map integration landscapes, analyze API documentation, generate partner comparison matrices, and accelerate strategic planning — building agents, writing scripts, creating automated workflows, whatever gets the job done fastest. You don't wait for someone to compile the data. You compile it yourself, faster than anyone expects. What You Bring 7+ years in product management, with 3+ years in integrations, platform partnerships, or API products Experience building integration packages, partner ecosystems, or API programs that drive business outcomes Technical enough to evaluate banking APIs, contact center integrations, and data exchange protocols: you don't need to code them, but you can read the docs, assess the architecture, and identify risks Understanding of how segment-specific integration needs map to business opportunity Experience with packaging capabilities into customer-ready offerings that reduce deployment friction Track record of influencing GTM strategy through product capabilities AI-native workflow: You build with AI daily — mapping integration landscapes, analyzing API specs, generating comparison matrices, automating documentation. 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. Bonus Points Financial services integration experience (core banking systems, CCaaS platforms, or financial data providers) Built or managed API partnership programs Product-led growth experience where integrations drive adoption Experience with integration testing, certification, and quality programs 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. What We Offer 100% company-paid medical, dental, and vision coverage 401(k) with company match and financial wellness perks Discretionary PTO + paid parental leave Mental health, wellness, and family benefits Competitive equity with meaningful upside interface.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, disability, or veteran status. 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: Strategic Staff Product Manager role focused on building and owning the integrations strategy for an AI-native banking platform, turning integrations into a competitive product advantage. The role drives integration roadmap, architecture, and packaging across core banking systems, contact center platforms, and data providers to unlock new customer segments and revenue. It combines deep technical API evaluation with business impact and AI-driven workflow automation. 🗂️ Requirements: 7+ years of product management experience, 3+ years in integrations, platform partnerships, or API products, Experience building integration packages or API programs, Ability to evaluate banking APIs and integration architectures, Experience with contact center and data provider integrations, Experience defining and managing integration roadmaps, Ability to design integration testing and certification programs, Experience influencing go-to-market strategy through product capabilities, Hands-on use of AI tools to build workflows, scripts, or automation 📃 Skills: APIs, Integrations, Architecture, Banking, CCaaS, AI, Automation, Scripting, Workflows, Data, Testing, Certification 🏢 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.Staff Product Manager, Integrations Strategy Company: interface.ai Location: Remote-friendly (Palo Alto, CA preferred) Reports to: VP of Product Compensation: $190,000 - $250,000 base salary + bonus + equity (depending on location & experience) About interface.ai Banking hasn't kept up with how people actually live their financial lives. At interface.ai, we're building AI-native products that transform how millions of Americans interact with their financial institutions, making every interaction intelligent, personal, and proactive. Our platform powers AI agents that handle real banking tasks end-to-end: moving money, resolving issues, converting loans, and surfacing financial insights across voice, chat, and digital channels. We're not building another chatbot. We're building the AI infrastructure that will become the primary way people bank. With two-thirds of Americans living paycheck to paycheck, only 17% financially literate, and 50% holding less than $500 in savings, the urgency is real. We're putting financial well-being on autopilot, starting with the community financial institutions that serve everyday Americans. We power AI agents for 100+ financial institutions, serving millions of banking members across the U.S., and are backed by leading investors including Avataar Venture Partners and Blume Ventures. Our platform enables banks and credit unions to automate high-volume customer interactions across voice and digital channels while improving resolution rates, reducing operational costs, and increasing customer engagement. Key credibility anchors: Series B AI company building agentic AI infrastructure for financial institutions Trusted by 100+ banks and credit unions across North America Serving millions of end users through conversational AI across voice, chat, and mobile channels The Opportunity At interface.ai, integrations aren't plumbing. They're a product. The depth of our integration layer directly determines what our AI can do for customers and how sticky the platform becomes. This is a strategic role reporting directly to the VP of Product. You decide which integrations to build, how to package them, and how they drive business outcomes. You also drive the technical execution, not just the strategy. What You'll Own Transform integrations from a technical function into a product-driven competitive advantage: integrations should open doors, not block deals Build and manage integration packages: pre-built bundles for specific customer segments that dramatically reduce time-to-live for new customers Define segment-specific integration strategies: which integrations unlock which customer segments and why Evaluate, prioritize, and manage the integration roadmap across core banking systems, contact center platforms, and data providers Design certification and testing programs that ensure integration quality, reliability, and partner confidence Influence go-to-market strategy through integration capabilities: your roadmap directly enables new deals and new segments Define integration architecture for new product lines: your strategic planning ensures the right integrations are in place as new products launch. You remain the integration authority throughout. Who You Are You see integrations the way a chess player sees the board: each one opens up new moves, and the right sequence creates a position that's hard to replicate. You've watched deals die because an integration wasn't ready, and you've seen firsthand how deep integrations become the reason customers stay and expand. You're equally comfortable in a technical architecture review and a sales deal review. You can evaluate a banking API spec and then explain to a GTM team why this integration unlocks a $50M customer segment. You translate between engineering ("this requires a new adapter pattern") and business ("this means we can close the top 3 pipeline deals"). You build your own tools. You use AI to map integration landscapes, analyze API documentation, generate partner comparison matrices, and accelerate strategic planning — building agents, writing scripts, creating automated workflows, whatever gets the job done fastest. You don't wait for someone to compile the data. You compile it yourself, faster than anyone expects. What You Bring 7+ years in product management, with 3+ years in integrations, platform partnerships, or API products Experience building integration packages, partner ecosystems, or API programs that drive business outcomes Technical enough to evaluate banking APIs, contact center integrations, and data exchange protocols: you don't need to code them, but you can read the docs, assess the architecture, and identify risks Understanding of how segment-specific integration needs map to business opportunity Experience with packaging capabilities into customer-ready offerings that reduce deployment friction Track record of influencing GTM strategy through product capabilities AI-native workflow: You build with AI daily — mapping integration landscapes, analyzing API specs, generating comparison matrices, automating documentation. 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. Bonus Points Financial services integration experience (core banking systems, CCaaS platforms, or financial data providers) Built or managed API partnership programs Product-led growth experience where integrations drive adoption Experience with integration testing, certification, and quality programs 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. What We Offer 100% company-paid medical, dental, and vision coverage 401(k) with company match and financial wellness perks Discretionary PTO + paid parental leave Mental health, wellness, and family benefits Competitive equity with meaningful upside interface.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, disability, or veteran status. At Interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.

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

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

🏢 Summary: Lead the strategy and architecture of a customer-facing Agentic AI platform, consolidating prompts and driving integration of LLMs, voicebots, and emerging AI capabilities. Own technical prioritization, platform standards, and partnerships (including OpenAI) while ensuring the current AI systems operate reliably. This role blends hands-on prompt engineering with long-term AI platform strategy in a fast-paced startup environment. 🗂️ Requirements: 4+ years in a technical role (e.g., forward deployed engineering, technical product management), Experience with AI systems and modern LLMs, Ability to design and discuss API and system architecture, Experience building scalable, production-grade products, Proficiency in SQL for data analysis, Experience working in fast-paced startup environments 📃 Skills: LLMs, Prompting, APIs, SQL, GitHub, Replit, CRM, Voicebot, AI, MachineLearning 🏢 Description: Why we’re hiring this role: Your car and your home are your most important assets, yet the experience of owning one is fragmented, complicated, and expensive. We are building the first app to manage it all. We launched car insurance in 2019 and became one of the top three brokers in the country, in part by being early adopters of generative AI. Before off-the-shelf platforms existed, we built our own infrastructure to automate sales and service conversations. Today, that system handles a meaningful share of customer interactions end-to-end, and the underlying technology is entirely homegrown. As the system evolved, prompts powering the customer-facing chatbot, vehicle photo validation, and back-office automation now live across six separate locations. There is no single source of truth, no unified platform, and no clear owner of future AI bets such as voicebot, computer use, and consumer AI applications. This role owns that challenge. How you’ll make an impact: Your scope covers two layers: maintaining the current AI platform while driving architectural decisions that determine its future state. In the first few months, you will learn the prompt engineering workflow by writing and updating prompts, understanding how various tech stacks (e.g., Propelix, Botly, CRM, GitHub, and Replit) interact, and identifying bottlenecks. After that, you will own the platform strategy: - Prompt consolidation: Define and execute the strategy to migrate prompts from six locations to a unified platform, aligning engineering, data, operations, and other teams. - Chatbot prioritization: Own the technical prioritization queue and keep the team coordinated without unnecessary process overhead. - Emerging technology decisions: Track advancements in voicebot and computer use, determine when to invest, own the OpenAI relationship, and manage presence in the ChatGPT store. Influence AI investment decisions with a clear point of view. Who you are: - Technologist: Deep interest in AI, actively following new model releases and building custom workflows. - Systems Thinker: Comfortable discussing API design and system architecture and translating complex concepts for varied audiences. - Experimenter: Continuously exploring new AI capabilities. - Data-Driven: Proficient in SQL and comfortable analyzing data to validate hypotheses. - Pragmatic: Able to navigate technical tradeoffs and implement AI platform standards. Ideal experience: - 4+ years in a technical role such as forward deployed engineering or technical product management in a fast-paced startup. - Passion and curiosity for AI systems including modern LLMs. - Proven track record of turning complex strategic ideas into scalable, production-grade products. Compensation and Benefits: The starting pay range for this role is $160K - $200K, determined by skills, experience, qualifications, work location, and market conditions. Compensation may include equity grants. Benefits for regular employees include health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits. Equity opportunities may also be part of the total rewards package.

🏢 Summary: Staff Product Manager role owning the end-to-end builder experience for Agent Studio, enabling customers to create and iterate on AI agents within a unified platform. The position focuses on designing intuitive yet powerful interfaces that abstract complexity while supporting advanced AI capabilities. You will drive product strategy, lifecycle, and cross-functional execution for AI-driven builder tools. 🗂️ Requirements: 7+ years Product Management experience, Experience building builder/creator tools or workflow platforms, Experience simplifying complex, technical products through UX, Experience collaborating closely with design teams on interaction-heavy products, Familiarity with AI/ML concepts including RAG and prompting, Experience translating technical capabilities into intuitive interfaces, Experience with B2B software products, Bachelor's degree or equivalent experience 📃 Skills: ProductManagement, UX, AI, ML, RAG, Prompting, SaaS, B2B, LowCode, NoCode, IDE, Metrics 🏢 Description: About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We're looking for a Staff Product Manager to own the build experience for Agent Studio — how customers create, configure, and iterate on AI agents within Workato. You'll own builder experience end-to-end. This role sits at the intersection of AI capabilities and builder usability - designing an experience where business technologists can build sophisticated AI agents without getting lost in complexity. You'll need to make hard calls about what to expose, what to abstract, and when to guide versus get out of the way. In this role, you will also be responsible to: Define, own and transform the entire experience where builders define agents and use them in recipes to achieve truly agentic experiences. Work closely with the PMs who own the recipe editor, knowledge base, and platform infrastructure to ensure the end-to-end builder journey is coherent. Spend significant time with customers understanding where they get stuck, what mental models they bring, and how you can bring delightful experiences at each stage in their journey Communicate the product strategy and requirements to key stakeholders Drive the product life cycle - ideation, design, prioritization, delivery, and adoption Bring teams together to define and implement product features Articulate product differentiation and value to internal and external stakeholders Define key metrics and measure the performance of features Requirements Qualifications / Experience / Technical Skills Strong product management experience, with meaningful time spent on products where the UX challenge was making something powerful feel approachable. You've worked on tools that serve users across a skill spectrum and had to decide how much complexity to expose at each level. Track record of translating technical capabilities into interfaces that feel intuitive without dumbing things down. You understand the difference between hiding complexity and organizing it — and you've shipped products that do the latter well. B2B software but aren't bound by B2B conventions. You look at enterprise tools and see opportunities where others see "that's just how it is." You're drawn to products like Figma, Linear, or Notion that prove complex workflows can still feel elegant. Familiarity with AI/ML concepts — enough to understand what builders are trying to accomplish and where current tooling falls short. You don't need to tune models yourself, but you should be able to have informed conversations about RAG, prompting, and evaluation approaches. 7+ years in Product Management Experience designing builder/creator tools, workflow products, or platforms where users construct rather than just consume Demonstrated ability to simplify complex products through thoughtful UX — portfolio examples or case studies welcome Experience working closely with design teams on interaction-heavy products Familiarity with AI product concepts Strong written and verbal communication skills Bachelor's degree or equivalent experience Nice to Have Background in design, or experience as a designer who transitioned to PM Experience with low-code/no-code platforms, IDE-like tools, or creative software Experience with products that serve both technical and less-technical users simultaneously Soft Skills / Personal Characteristics Strong written and verbal communication skills You're a strong communicator who can articulate design rationale to engineering, advocate for builder needs to leadership, and write clear product specs that don't leave interaction details to chance.For California applicants, the pay for this role may range between $185,000 - $250,000 plus benefits, perks, and equity. The final package will depend on the interview process, we're open to negotiation. (REQ ID: 2468)