New offer - be the first one to apply!
June 24, 2026
Product Manager, Data Integrations
Mid
144,000 - 216,000 USD/yr
San Jose, CA
FloQast is at the forefront of the accounting industry, providing an AI-powered Accounting Transformation Platform created by accountants, for accountants. We are dedicated to revolutionizing how accounting and finance teams work, enabling them to move beyond manual, tedious tasks and into a strategic, advisory role. By leveraging our auditable AI Agents and purpose-built solutions, we empower teams to streamline their financial close, enhance compliance, and achieve a new level of transparency and accuracy.
You will own the product vision and execution for how new data integrations are built and scaled on the FloQast platform. You'll define supported integration types, shape the tools that enable those integrations, and drive the roadmap that determines how financial data from ERPs, banks, subledgers, and other systems flows into FloQast. This is a technical Product Manager role requiring close collaboration with engineers on integration architecture and direct interaction with non-technical customers.
Visa sponsorship is NOT available at this time.
What You'll Do
- Own the roadmap for new integration types and supporting tooling, including API-based connections, sFTP workflows, Change Data Capture (CDC), and Snowflake data sharing.
- Define requirements for tools that allow customers and internal teams to configure, map, and validate data connections at scale.
- Evaluate source systems (ERPs, subledgers, banking platforms, payroll providers, and others) to determine integration approaches, connectivity patterns, and data mapping requirements.
- Partner with Engineering to drive technical decisions on connectivity methods, data schema handling, pipeline architecture, and mapping into canonical data models.
- Develop and maintain integration playbooks and documentation; coordinate with internal teams to enable faster and more consistent onboarding.
- Work directly with customers during integration builds, translating technical requirements into clear guidance and advocating for customer needs.
- Align with Product, Alliances, and GTM teams on integration priorities and partnership opportunities.
- Support Sales and Customer Success with clear messaging on integration capabilities and customer value.
What You'll Bring
- 3+ years of product management experience focused on data, integrations, or platform products.
- Demonstrated understanding of API-based integrations, sFTP workflows, and data pipeline concepts.
- Experience working on platform or infrastructure products rather than purely user-facing features.
- Ability to communicate complex technical topics clearly to non-technical audiences.
- Strong cross-functional collaboration skills.
- Comfort operating with ambiguity and limited oversight.
Nice to Have
- Familiarity with ERP systems such as Workday, SAP, NetSuite, Yardi, or similar.
- Experience with data warehousing or cloud data platforms, including Snowflake.
- Working knowledge of accounting and financial data.
- Background in fintech, accounting software, or financial services.
Why You’ll Love Working With Us
FloQast’s Data Platform team focuses on solving meaningful data challenges with real customer impact. You will own integrations end to end, shape how data moves through the platform, and expand its reach across the accounting ecosystem. The team values collaboration, initiative, and practical problem solving while building reliable systems for modern accounting teams.
Compensation and Benefits
The base pay range for this position is $144,000 - $216,000. Compensation is not limited to base salary and includes a competitive benefits package such as Medical, Dental, Vision, Family Forming benefits, Life & Disability Insurance, and Unlimited Vacation. Pay within the range is determined based on qualifications and successful completion of the interview process.
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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.
Technology

Interface.ai
Staff Product Manager - Integrations Strategy
Senior
Remote
San Francisco, CA
190,000 - 250,000 USD/yr
🏢 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.
Technology
TechTree
Senior/Staff Product Engineer
Senior
On-site
Wroclaw, Poland
130,000 - 190,000 USD/yr
🏢 Summary: Senior or Staff Product Engineer role focused on building and shipping intuitive, high-performance end-to-end web product experiences in an AI-native accounting platform. The position involves owning full-stack feature delivery from UI to server-side logic, collaborating directly with leadership and design, and setting engineering best practices. The role requires strong frontend expertise, cloud infrastructure knowledge, and hands-on work with modern AI tooling. 🗂️ Requirements: 5+ years of full-stack product engineering experience, Proven experience building and shipping production web applications, Strong practical experience with React and TypeScript, Experience designing and working with AWS or GCP cloud infrastructure, Ability to design and implement scalable server-side logic, Experience delivering end-to-end features from frontend to backend, Ability to work on-site 4–5 days per week in Wrocław 📃 Skills: TypeScript, React, Node.js, AWS, GCP, Terraform, PostgreSQL, OpenAI, Azure, GitHub, Figma, LLM 🏢 Description: ABOUT THE COMPANY We're an applied AI company building an AI-native alternative to legacy accounting software — a market worth tens of billions in annual recurring revenue. Our mission is to help entrepreneurs focus on what matters in their business and life, and to help their accountants become more strategic. We've raised $20M from a group of top-tier investors and have grown ARR 60% month-on-month since our public launch. We now serve thousands of businesses and are expanding our product to serve accountants directly — creating a two-sided platform where both business owners and their accountants use and recommend us. We're at an early but proven stage, moving fast, and building a world-class engineering team in Wrocław to match our ambition. ABOUT THE ROLE We're looking for a Senior or Staff Product Engineer with a strong track record of building intuitive, performant end-to-end product experiences. The defining quality of this role is craft — you care deeply about how things feel to use, and you're energised by the opportunity to make software feel like magic because AI is doing real work behind the scenes. You'll work directly with the CEO, Operations, AI, and Design teams to scope and ship user-facing features. There's no product manager layer here — you'll engage directly with users, iterate quickly, and own the quality of what you deliver from UI through to server-side logic. WHAT YOU'LL WORK ON End-to-end feature delivery Work directly with the CEO, Operations, AI, and Design teams to scope and ship polished, scalable user-facing features with beautiful UI components and robust server-side logic. Engineering best practices Redefine what best-in-class software development looks like for the team. You'll set the standard, not follow it. Technology evaluation Continuously research and evaluate new technologies to improve the speed, scalability, and performance of the product. Bring recommendations and drive adoption. User-focused iteration Engage directly with users to understand how the product is being used, iterate quickly, and deliver experiences that feel genuinely polished — not just functional. WHAT WE LOOK FOR 5+ years of full-stack product engineering A strong track record building and shipping full-stack production web applications that real users depend on. Modern frontend fluency Deep practical experience with React and TypeScript. You write frontend code that is fast, accessible, and maintainable — and you have an eye for detail in UI. Cloud infrastructure experience Familiarity with AWS or GCP architecture and design patterns, and an understanding of how infrastructure choices affect product performance and reliability. Strong communication Clear written and verbal communication. You can articulate trade-offs, give and receive direct feedback, and work well without a lot of process around you. Bonus Experience as a founder or early founding team member. Familiarity with modern LLM tooling and AI-assisted development (Cursor, Claude Code, etc). Background in finance or accounting. TECH STACK TypeScript, React, Node.js, AWS, Terraform, PostgreSQL, OpenAI, Azure AI. The team uses GitHub, Slack, Linear, Figma, and Notion day to day. THE TEAM Small, senior, and in-person. The office is in central Wrocław, next to the main train station. The expectation is 4–5 days a week in the office — this is a deliberate choice, not a compromise. Relocation support is available for the right candidate. COMPENSATION & BENEFITS Salary $130,000 – $190,000 USD depending on experience, plus competitive equity. Wellness and commute stipend $100 per month. Hardware Premium hardware provided — MacBook Pro and AirPods. Food Daily in-office lunch and dinner. Time off 20 PTO days plus 9 US public holidays. Relocation Support available for candidates relocating to Wrocław.
Technology

Interface.ai
Principal Product Manager – AI Platform
Senior
On-site
San Francisco, CA
250,000 - 320,000 USD/yr
🏢 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.
Technology

Interface.ai
Principal Product Manager – AI Platform
Senior
On-site
Palo Alto, CA
250,000 - 320,000 USD/yr
🏢 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.
Technology

Zuora
Product Manager, AI Platform
Senior
Hybrid
Foster City, CA
🏢 Summary: Product Manager role focused on defining and delivering an enterprise AI platform that powers agent-based, context-aware experiences across a SaaS product suite. Responsible for AI platform strategy, agent orchestration, architecture decisions, governance, and enabling AI capabilities across multiple applications. The role combines platform engineering, applied AI, and cross-functional leadership to scale secure, enterprise-grade AI solutions. 🗂️ Requirements: 5+ years product management experience in enterprise SaaS or platform companies, Minimum 2 years experience with AI/ML platforms or foundational infrastructure products, Experience building AI/ML platforms including LLM orchestration and agent frameworks, Strong knowledge of platform architecture, API design, and distributed systems, Experience with event-driven systems and real-time communication protocols, Experience shipping AI features with enterprise security, audit, and permission controls, Ability to define governance models and platform abstractions, Bachelor's degree in Computer Science, Engineering, or related field 📃 Skills: AI, ML, LLM, APIs, WebSocket, LangChain, LangGraph, AWS, Bedrock, AgentCore, MCP, SaaS, Architecture, Orchestration, DistributedSystems, EventDriven, Cloud, Security, Audit, Infrastructure 🏢 Description: About Zuora At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue. We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation. The Opportunity & About the Team As a Product Manager, AI Platform at Zuora, you will define and deliver the foundational platform that powers all of Zuora's AI capabilities. You'll own the end-to-end architecture—from the agent orchestration layer to user-facing interfaces—that enables intelligent, context-aware experiences across our product suite. Your work will directly shape how enterprise customers interact with AI agents that transform subscription management, billing operations, and revenue intelligence. This role sits at the intersection of platform engineering, applied AI, and product design. You'll partner closely with engineering to build the infrastructure that connects AI agents to applications, manages conversation state and memory, and provides the tools layer that lets agents take meaningful action. Your decisions will determine how AI capabilities scale across Zuora's ecosystem while maintaining enterprise-grade security, auditability, and user control. A critical dimension of this role is cross-organizational leadership. You will interface with application product teams across the entire Zuora suite—Billing, Revenue, Payments, CPQ, and Platform—to enable their AI capabilities and experiences. You'll collaborate across the Product Management organization to ensure a unified, coherent end-to-end user experience. Success requires building strong relationships, establishing shared standards and patterns, and balancing platform consistency with the flexibility teams need to deliver differentiated AI experiences for their domains. *This is a Hybrid position, so you’ll be working in-person in the Foster City office at least 3 days a week, with other days remote. Of course, you’re welcome to come into the office more often if you’re nearby. What You'll Do Own AI Platform Strategy – Lead the roadmap for Zuora's AI Platform, including the agent-to-application interaction layer, orchestration and session management, persona-based agent frameworks, and the centralized tools layer that connects agents to Zuora's services and APIs. Enable AI Across the Zuora Suite – Partner with application product teams across Billing, Revenue, Payments, CPQ, and Platform to enable their AI capabilities. Provide platform components, patterns, and UX standards that allow teams to build domain-specific experiences while ensuring a coherent end-to-end user experience across the product portfolio. Drive Platform Architecture Decisions – Partner with engineering on critical technical choices across the stack: cloud infrastructure services, agent development frameworks, memory and context management, and tool integrations that enable agent capabilities. Build Intelligent User Experiences – Define how AI integrates into Zuora's applications, including contextual awareness, conversational interfaces, and seamless interactions across different entry points and modalities. Establish Enterprise Controls – Own the product strategy for AI governance including permissions, configuration management, audit capabilities, and human-in-the-loop controls that give enterprise customers confidence in AI-assisted operations. Evolve Platform Capabilities – Drive development of foundational features that make AI agents smarter, more personalized, and more useful over time—including memory, context management, automation, and new interaction paradigms. Lead Rapid Iteration Cycles – Establish product feedback loops combining quantitative analytics (usage instrumentation, in-app feedback tracking) with qualitative customer insights (structured interviews, session replay analysis) to enable frequent AI releases and continuous improvement. Drive Cross-Functional Execution – Collaborate across engineering, design, and product teams to deliver cohesive AI experiences. Lead UX audits to ensure consistent component usage and establish decision frameworks for when custom experiences add value versus complexity. Establish External Thought Leadership – Represent Zuora in customer advisory discussions, industry events, and analyst briefings to position Zuora as a leader in enterprise AI platform innovation. About You 5-8+ years of product management experience with demonstrated success at leading enterprise SaaS or platform companies, with at least 2 years focused on AI/ML platforms, developer platforms, or foundational infrastructure products Deep experience building AI/ML platforms, including LLM orchestration, agent frameworks, conversation management, or similar technologies that power intelligent user experiences Strong technical foundation in platform architecture, API design, event-driven systems, and distributed architectures—comfortable partnering with engineering on decisions involving WebSocket protocols, agent orchestration, and memory management Proven success with platform products serving multiple internal and external consumers, including experience defining abstractions, establishing governance models, and balancing platform flexibility with product consistency Strong cross-functional collaboration skills with demonstrated ability to influence and align multiple product teams, establish shared standards, and drive adoption of platform capabilities across an organization Experience shipping AI features to enterprise customers, including navigating requirements around security, audit, permissions, and human-in-the-loop controls Data-driven product development approach with experience instrumenting features, analyzing usage patterns, and using feedback loops to drive rapid iteration Executive presence and ability to influence stakeholders across functions, including engineering leadership and C-level audiences Bachelor's degree in Computer Science, Engineering, or related technical field Nice to Haves Experience with agent frameworks and orchestration (LangChain, LangGraph, AWS Bedrock/AgentCore, or similar) Familiarity with MCP (Model Context Protocol) or similar tool-use patterns for AI agents Background in subscription billing, revenue platforms, or enterprise financial systems (Zuora, Salesforce, Oracle, SAP) Experience with real-time communication protocols and event-driven architectures Track record of building platforms that serve both internal product teams and external developers Advanced degree in Computer Science, AI/ML, or a related field Benefits Zuora offers a comprehensive total rewards package designed to support ZEOs’ wellbeing, growth, and flexibility. While specific offerings may vary by country, we typically provide: Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs Medical, dental, and vision insurance Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy) Learning & development stipend to support ongoing growth Opportunities to volunteer and give back, including charitable donation matching where available Mental wellbeing resources and support *Benefits may vary by location; details will be shared during the interview process #ZEOLife at Zuora ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We: Collaborate deeply across teams and regions Learn constantly and iterate often Build an inclusive, high-performance culture where people feel inspired, connected, and valued Our Commitment to an Inclusive Workplace Think, be and do you.At Zuora, different perspectives, experiences, and contributions matter — everyone counts. Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. We do not discriminate on the basis of, and consider individuals seeking employment with Zuora without regard to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance@zuora.com (or local equivalent, where applicable).The base pay details represent the annualized salary range for the posted position. While we share a comprehensive range, a candidate’s final base salary will fall within these guidelines and will be determined based on multiple factors including but not limited to: qualifications of the candidate, job related knowledge, prior related experience, specific and unique skills, the location of the role, internal equity and internal budget. Base pay is only one element of Zuora’s Total Rewards Package. Additional elements may also include bonus/variable compensation, equity and comprehensive benefits, more details found here.Base Pay Details$146,500—$201,450 USD