Lead Recruiting Partner

🏢 Summary: Senior leadership role focused on optimizing enterprise funding strategy, driving cross-functional capital markets initiatives, and scaling AI-enabled workflows in structured finance. The position involves securitization strategy, investor and rating agency coordination, liquidity management, and automation of reporting and analytics processes. Candidates should have deep expertise in structured finance, consumer ABS, and financial modeling within fast-paced financial services environments. 🗂️ Requirements: 7+ years in capital markets, structured finance, securitization, investment banking, corporate strategy, or related financial services, Strong knowledge of structured finance and debt funding concepts, Experience with consumer finance or fintech lending platforms, Deep understanding of consumer ABS asset classes, Familiarity with Intex and cash flow models, Experience with collateral performance analysis, Strong financial modeling skills, Ability to lead complex cross-functional initiatives independently, Bachelor’s degree in Finance, Economics, Mathematics, Engineering, or related quantitative field 📃 Skills: Intex, ABS, AI, Finance, Securitization, Modeling, Analytics, Automation, Liquidity, SQL 🏢 Description: About Pagaya Shape the Future of Finance Pagaya is building a leading artificial intelligence network to help partners grow their businesses and better serve their customers. The company provides consumer credit and residential real estate solutions using machine learning, data networks, and AI-driven approaches. The Senior Lead, Capital Markets Strategy & Execution reports to the Head of Capital Markets and acts as a strategic lead to optimize the enterprise funding platform, drive cross-functional execution, and help scale the organization. Responsibilities 1. Strategic Initiatives & Cross-Functional Execution - Lead high-priority Capital Markets strategic projects from problem definition through implementation - Coordinate execution across Risk, Finance, Legal, Tech, Operations, and external counterparties - Translate leadership goals into structured workplans, executive recommendations, and implementation roadmaps 2. Rating Agency, Investor, & Bank Strategy - Support strategic rating agency initiatives including onboarding, diligence readiness, methodology mapping, and credit narrative formulation - Manage relationships across investment banks, institutional investors, and rating agencies 3. Market Development & Secondary Liquidity - Drive initiatives to improve secondary market liquidity across ABS shelves - Develop frameworks to monitor liquidity, investor feedback, and executive reporting 4. Scale, Automation, & AI Innovation - Identify and implement workflows to automate reporting, cash flow analysis, surveillance, and executive dashboards - Partner with technology teams to build and scale AI-enabled Capital Markets workflows Required Qualifications - 7+ years in capital markets, structured finance, securitization, investment banking, corporate strategy, or related financial services - Strong mastery of structured finance and debt funding concepts including ABS, warehouse facilities, forward flow, private credit, and debt documentation - Deep experience with consumer finance or fintech lending platforms and consumer ABS asset classes - Familiarity with Intex, cash flow models, collateral performance analysis, and financial modeling - Proven ability to independently lead complex initiatives and drive cross-functional alignment - Bachelor’s degree in Finance, Economics, Mathematics, Engineering, or related quantitative field Compensation - Compensation range for New York based hires: $150,000 — $225,000 USD More than just a job The company offers benefits programs and perks designed to support employee health, happiness, and productivity.

🏢 Summary: Senior capital markets strategy role focused on optimizing enterprise funding, leading cross-functional initiatives, and scaling structured finance operations through automation and AI-enabled workflows. The position involves investor and rating agency strategy, secondary market liquidity initiatives, and structured finance execution across consumer lending asset classes. 🗂️ Requirements: 7+ years in capital markets, structured finance, securitization, investment banking, corporate strategy, or related financial services, Strong knowledge of structured finance and debt funding concepts, Experience with consumer finance or fintech lending platforms, Experience with consumer ABS asset classes, Familiarity with Intex and cash flow modeling, Strong financial modeling and collateral performance analysis skills, Ability to lead complex cross-functional initiatives independently, Bachelor's degree in Finance, Economics, Mathematics, Engineering, or related quantitative field 📃 Skills: Intex, ABS, AI, Finance, Securitization, Modeling, Analytics, Automation, Liquidity, Credit, API 🏢 Description: About Pagaya Shape the Future of Finance Pagaya is building a leading artificial intelligence network to help partners grow their businesses and better serve their customers. The company provides consumer credit and residential real estate solutions through machine learning, data networks, and AI-driven technology. Let's create better outcomes together! The Director, Capital Markets Strategy & Execution reports to the Head of Capital Markets and acts as a strategic lead to optimize the enterprise funding platform, drive cross-functional execution, and help scale the organization. Responsibilities 1. Strategic Initiatives & Cross-Functional Execution - Lead high-priority Capital Markets strategic projects from problem definition through implementation - Coordinate execution across Risk, Finance, Legal, Tech, Operations, and external counterparties - Translate leadership goals into structured workplans, executive recommendations, and implementation roadmaps 2. Rating Agency, Investor, & Bank Strategy - Support strategic rating agency initiatives, including onboarding, diligence readiness, methodology mapping, and credit narrative formulation - Manage relationships with investment banks, institutional investors, and rating agencies 3. Market Development & Secondary Liquidity - Drive initiatives to improve secondary market liquidity across ABS shelves - Develop frameworks to monitor market liquidity and investor feedback - Provide updates and recommendations to the executive team 4. Scale, Automation, & AI Innovation - Identify and implement workflows to automate reporting, cash flow analysis, surveillance, and executive dashboards - Partner with technology teams to build and scale AI-enabled Capital Markets workflows Required Qualifications - 7+ years in capital markets, structured finance, securitization, investment banking, corporate strategy, or related financial services - Strong mastery of structured finance and debt funding concepts including ABS, warehouse facilities, forward flow, private credit, and debt documentation - Deep experience with consumer finance or fintech lending platforms and consumer ABS asset classes - Familiarity with Intex, cash flow models, collateral performance analysis, and financial modeling - Proven ability to lead complex initiatives and drive cross-functional alignment - Bachelor's degree in Finance, Economics, Mathematics, Engineering, or related quantitative field Compensation - Compensation range for New York based hires: $150,000–$225,000 USD More than just a job The company offers benefits and perks designed to support employee health, happiness, and productivity.

🏢 Summary: Strategic Finance Business Partner role supporting Sales & Marketing as the commercial finance lead for a SaaS energy intelligence platform. The position owns revenue forecasting, quota-setting, commercial metrics, and GTM financial modeling while partnering with executive leadership to drive growth strategy and performance insights. This is a high-impact, remote-first role focused on SaaS revenue analytics, financial modeling, and cross-functional commercial integration. 🗂️ Requirements: 5+ years in FP&A, strategic finance, investment banking, or management consulting, At least 2 years supporting commercial/GTM teams in SaaS, tech-enabled services, or B2B software, Expert-level financial modeling skills, Deep knowledge of SaaS and recurring revenue metrics (ARR, MRR, NRR, GRR, ACV, TCV, CAC, LTV, payback, pipeline coverage), Experience with quota-setting, territory planning, or incentive compensation design, Advanced proficiency in Excel or Google Sheets, Experience with Salesforce and BI tools, Ability to work autonomously in fast-paced, post-merger environment 📃 Skills: Excel, Google Sheets, Salesforce, Tableau, PowerBI, SQL, Python, Abacum, Pigment, Adaptive Planning, Financial modeling, Forecasting, SaaS metrics, BI, AI, Automation 🏢 Description: Who We Are Arcadia is the AI-powered energy intelligence platform for businesses. We replace fragmented tools and manual workflows with one platform to pay utility bills, buy energy, and advance sustainability — across every location, at enterprise scale. Trusted by Fortune 2000 companies, Arcadia combines unified data, AI-powered analytics, and expert advisory to help enterprise teams save money, mitigate risk, and cut carbon. We deliver this through three comprehensive solutions: Utility Bill Management: Automating the entire utility bill lifecycle — from data capture and validation to payment processing and auditing. Energy Procurement Advisory: Bringing together comprehensive data, AI-powered analytics, market expertise, and a strong partner network to make sophisticated procurement options accessible to all. Sustainability Reporting — Verified emissions data with seamless integration into leading sustainability platforms. What we're looking for: We are seeking a strategic and analytically rigorous Finance Business Partner to join the Strategic Finance / FP&A team as our dedicated commercial finance lead for our Sales & Marketing function. This individual will own revenue and sales forecasting, quota-setting, and commercial metrics for the combined Arcadia and ENGIE Impact go-to-market organization, serving as the connective tissue between Finance, Sales, Marketing, and Customer Success. This is a high-visibility, high-impact role for a finance professional who thrives at the intersection of data and strategy. You will partner directly with the Chief Commercial Officer and GTM leadership to translate business performance into financial insight and financial targets into commercial plans. What you'll do: Own the end-to-end revenue forecast model for the commercial organization, integrating pipeline data, bookings, churn, and expansion assumptions across all GTM segments. Serve as the primary finance business partner to the CCO, VP of Sales, and GTM leadership, translating financial data into actionable insights that drive quota attainment, headcount decisions, and growth strategy. Lead the annual quota-setting and territory planning process in close partnership with Sales Operations, ensuring alignment between top-down revenue targets and bottoms-up sales capacity modeling. Build and maintain dashboards tracking key commercial metrics (ARR, NRR, ACV, win rates, CAC, LTV, payback period, pipeline coverage) and deliver regular reporting to the CFO and executive team. Support QBRs, board materials, and investor-facing narratives with GTM financial performance analysis and forward-looking commentary. Partner with Marketing to develop spend efficiency models, track CAC by channel and segment, and assess pipeline contribution from demand generation programs. Drive financial integration work across the Arcadia and ENGIE Impact commercial teams, including harmonizing revenue definitions, CRM data standards, and go-to-market reporting. Lead ad-hoc strategic analyses, including pricing and packaging scenarios, market expansion modeling, and M&A revenue diligence. Continuously improve FP&A processes, tools, and automation in partnership with RevOps, Sales Ops, and the broader Finance team. What will help you succeed: Must-haves: 5+ years of progressive experience in FP&A, strategic finance, investment banking, or management consulting; at least 2 years supporting a commercial or GTM organization in a SaaS, tech-enabled services, or B2B software environment. Expert-level financial modeling skills. Deep fluency in SaaS and recurring revenue metrics: ARR/MRR, NRR, GRR, ACV, TCV, CAC, LTV, payback period, magic number, and pipeline coverage ratios. Demonstrated experience supporting quota-setting, territory carving, or incentive compensation design in partnership with Sales Operations. Strong data skills - proficiency in Excel/Google Sheets at a minimum; experience with Salesforce and BI tools (e.g., Tableau, PowerBI) strongly preferred. Outstanding communication and executive presence. A genuine interest in leveraging AI and automation within FP&A workflows. Ability to operate with high autonomy in a fast-moving, post-merger environment. Nice-to-haves: Prior experience modeling revenue for businesses with mixed revenue types, including subscription, usage-based, non-recurring, and treasury revenue. Experience at an energy, sustainability, or climate technology company. Familiarity with utility bill management, energy procurement, or sustainability reporting. Experience supporting commercial integration following an M&A transaction. Experience with financial planning tools (e.g. Abacum, Pigment, Adaptive Planning). Experience identifying and implementing AI-driven automation opportunities. SQL and/or Python experience. MBA or CFA designation. Benefits: "Remote first" culture - work anywhere in the US with reliable internet connection Flexible PTO with no accrued hours and no limit for exempt employees 11 annual holidays 10 days sick leave Up to 2 weeks bereavement leave 2 volunteer days off 2 professional development days off Parental leave benefits for all parents 75-95% employer cost coverage for medical, dental, and vision benefits for employees and dependents Target Annual Compensation Range: $97,000 to $175,000 plus competitive benefits and bonus component. Please note that visa sponsorship is not available for this position at this time.

🏢 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: Permanent Product Manager role focused on reimagining financial institutions’ operations by designing and launching AI-native solutions that replace legacy back-office workflows. The position owns the full product lifecycle and acts as a domain expert in regulated financial environments, driving ROI for enterprise clients. The role requires deep expertise in financial operations and building AI-powered automation from scratch. 🗂️ Requirements: 5+ years of product management experience, Experience in financial services operations (operational side of financial institutions), Experience building products for operations, risk, or compliance users, Experience owning full product lifecycle from discovery to launch, Ability to define and communicate ROI-driven value propositions for enterprise buyers, Strong customer discovery and validation skills, Experience working in regulated financial environments, Hands-on experience building AI-native workflows and automation 📃 Skills: AI, ProductManagement, FinancialServices, Operations, Compliance, Risk, Automation, Cursor, Copilot, Claude, Replit, AIagents, Scripting, Regulations, WorkflowAutomation 🏢 Description: Banking is being reimagined—and customers expect every interaction to be easy, personal, and instant. We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals. Powered by our proprietary BankGPT platform, this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack, unlocking a $200B opportunity and potentially replacing multiple publicly traded companies. Ultimately, our mission is to drive financial well-being for millions of consumers. With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem.About the Role: Financial institutions are full of operational pain points that haven't been meaningfully addressed in decades. Manual workflows, legacy tools, and inefficiency cost the industry billions. Your job is to go deep into how these institutions actually operate, identify the highest-impact friction points, and build AI-native solutions that fundamentally change the way things work. This isn't about wrapping AI around broken processes. It's about reimagining how these workflows should function when AI is the starting point. This is a domain-expert, permanent role (not a rotation) because customer relationships and regulatory knowledge compound over time. Your expertise is the moat. Key Responsibilities Discover and validate the highest-value operational pain points at financial institutions through deep customer engagement Design and build AI-native solutions from scratch: not incremental improvements to legacy workflows, but fundamentally new approaches Own the full product lifecycle: discovery, validation, build, launch, and iteration for each solution you bring to market Be the customer-facing domain expert: spend time with FI operations teams, understand their workflows at a granular level, and translate pain into product Define outcome-based value narratives for enterprise buyers: prove ROI in terms that CFOs and operations leaders care about Navigate regulatory complexity as a first-class product constraint: financial operations are heavily regulated, and compliance shapes the product, not the other way around Partner with platform teams to leverage shared AI infrastructure and capabilities Required Qualifications 5+ years in product management Experience in financial services operations you've worked in or built products for the operational side of financial institutions (not just consumer-facing apps) Built products where the user is an operations, risk, or compliance professional you understand back-office workflows at a granular level Experience defining ROI-driven narratives for enterprise buyers: you sell business outcomes, not feature lists Comfortable being the domain expert who educates engineering teams and peer PMs on industry nuance Strong discovery instincts you know how to find the real pain points, not just the ones customers articulate AI-native workflow: You build with AI daily — analyzing data, building prototypes, generating regulatory summaries, automating repetitive research. The specific tools don't matter (Cursor, Copilot, Claude, Replit, custom scripts — all count); what matters is that you've moved beyond prompting into building Preferred Skills Working knowledge of financial operations regulations (collections, fraud, compliance, lending): highly valued but learnable for candidates with adjacent financial services experience Financial institution experience Built AI-powered automation for back-office or operations workflows Experience with outcome-based or performance-based pricing models Experience identifying and validating new product opportunities through customer discovery Who you are? You're the person who has sat with operations teams at financial institutions and watched how they actually work: the spreadsheets, the manual queues, the workarounds that exist because nobody built them a real tool. You see friction that others accept as normal, and you immediately start thinking about what an AI-native solution looks like. You understand regulated environments viscerally. You don't treat compliance as a checkbox, you treat it as a design constraint that makes the product better. You've built products where a regulatory misstep isn't just a bug; it's a lawsuit. You're customer-facing and credible. Operations leaders at financial institutions trust you because you speak their language and understand their world. You can present ROI to a CFO and workflow details to an operations manager in the same meeting. You build your own tools. You use AI to analyze operational data, prototype solution workflows, generate regulatory requirement maps, and accelerate every aspect of your domain work — building agents, writing scripts, creating automated workflows, whatever gets the job done fastest. You see AI as both the product you're building and the way you build it. Our Values Act Like You're the Founder: Own the outcome from start to finish No Fear. Speak Your Mind: Candor moves us forward Pursuit of Excellence: Raise the bar, every time AI-First Mindset: Think automation, intelligence, and scale-first in every solution Don't Assume. Seek to Understand: Start with questions, not conclusions How We Work? Every PM builds with AI daily. Our standard toolkit is Cursor, MCP integrations, and custom AI agents — and we onboard every new hire on these tools in their first week. We hold a high quality bar and move at startup speed. Flat organization. No empire-building. Compensation Base Salary is expected to be between $175,000 - $225,000, plus 10%bonus and stock options. Exact compensation may vary based on skills and location. Benefits 100% paid health, dental & vision care 401(k) match & financial wellness perks Discretionary PTO + paid parental leave Mental health, wellness & family benefits A mission-driven team shaping the future of banking At Interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.

🏢 Summary: Permanent Product Manager role focused on reimagining financial institution operations through AI-native solutions. The role involves identifying high-impact operational pain points and building end-to-end AI-driven products that replace legacy workflows in regulated banking environments. You will own the full product lifecycle and deliver ROI-driven solutions for enterprise financial institutions. 🗂️ Requirements: 5+ years product management experience, Experience in financial services operations, Experience building products for operations, risk, or compliance users, Experience owning full product lifecycle, Experience defining ROI-driven enterprise narratives, Strong customer discovery skills, Experience working in regulated financial environments, Hands-on use of AI tools for building prototypes and workflows 📃 Skills: AI, MachineLearning, Automation, ProductManagement, DataAnalysis, Prototyping, Compliance, FinTech, Cursor, Copilot, Claude, Replit 🏢 Description: Banking is being reimagined—and customers expect every interaction to be easy, personal, and instant. We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals. Powered by our proprietary BankGPT platform, this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack, unlocking a $200B opportunity and potentially replacing multiple publicly traded companies. Ultimately, our mission is to drive financial well-being for millions of consumers. With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem.About the Role: Financial institutions are full of operational pain points that haven't been meaningfully addressed in decades. Manual workflows, legacy tools, and inefficiency cost the industry billions. Your job is to go deep into how these institutions actually operate, identify the highest-impact friction points, and build AI-native solutions that fundamentally change the way things work. This isn't about wrapping AI around broken processes. It's about reimagining how these workflows should function when AI is the starting point. This is a domain-expert, permanent role (not a rotation) because customer relationships and regulatory knowledge compound over time. Your expertise is the moat. Key Responsibilities Discover and validate the highest-value operational pain points at financial institutions through deep customer engagement Design and build AI-native solutions from scratch: not incremental improvements to legacy workflows, but fundamentally new approaches Own the full product lifecycle: discovery, validation, build, launch, and iteration for each solution you bring to market Be the customer-facing domain expert: spend time with FI operations teams, understand their workflows at a granular level, and translate pain into product Define outcome-based value narratives for enterprise buyers: prove ROI in terms that CFOs and operations leaders care about Navigate regulatory complexity as a first-class product constraint: financial operations are heavily regulated, and compliance shapes the product, not the other way around Partner with platform teams to leverage shared AI infrastructure and capabilities Required Qualifications 5+ years in product management Experience in financial services operations you've worked in or built products for the operational side of financial institutions (not just consumer-facing apps) Built products where the user is an operations, risk, or compliance professional you understand back-office workflows at a granular level Experience defining ROI-driven narratives for enterprise buyers: you sell business outcomes, not feature lists Comfortable being the domain expert who educates engineering teams and peer PMs on industry nuance Strong discovery instincts you know how to find the real pain points, not just the ones customers articulate AI-native workflow: You build with AI daily — analyzing data, building prototypes, generating regulatory summaries, automating repetitive research. The specific tools don't matter (Cursor, Copilot, Claude, Replit, custom scripts — all count); what matters is that you've moved beyond prompting into building Preferred Skills Working knowledge of financial operations regulations (collections, fraud, compliance, lending): highly valued but learnable for candidates with adjacent financial services experience Financial institution experience Built AI-powered automation for back-office or operations workflows Experience with outcome-based or performance-based pricing models Experience identifying and validating new product opportunities through customer discovery Who you are? You're the person who has sat with operations teams at financial institutions and watched how they actually work: the spreadsheets, the manual queues, the workarounds that exist because nobody built them a real tool. You see friction that others accept as normal, and you immediately start thinking about what an AI-native solution looks like. You understand regulated environments viscerally. You don't treat compliance as a checkbox, you treat it as a design constraint that makes the product better. You've built products where a regulatory misstep isn't just a bug; it's a lawsuit. You're customer-facing and credible. Operations leaders at financial institutions trust you because you speak their language and understand their world. You can present ROI to a CFO and workflow details to an operations manager in the same meeting. You build your own tools. You use AI to analyze operational data, prototype solution workflows, generate regulatory requirement maps, and accelerate every aspect of your domain work — building agents, writing scripts, creating automated workflows, whatever gets the job done fastest. You see AI as both the product you're building and the way you build it. Our Values Act Like You're the Founder: Own the outcome from start to finish No Fear. Speak Your Mind: Candor moves us forward Pursuit of Excellence: Raise the bar, every time AI-First Mindset: Think automation, intelligence, and scale-first in every solution Don't Assume. Seek to Understand: Start with questions, not conclusions How We Work? Every PM builds with AI daily. Our standard toolkit is Cursor, MCP integrations, and custom AI agents — and we onboard every new hire on these tools in their first week. We hold a high quality bar and move at startup speed. Flat organization. No empire-building. Compensation Base Salary is expected to be between $175,000 - $225,000, plus 10%bonus and stock options. Exact compensation may vary based on skills and location. Benefits 100% paid health, dental & vision care 401(k) match & financial wellness perks Discretionary PTO + paid parental leave Mental health, wellness & family benefits A mission-driven team shaping the future of banking At Interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.

🏢 Summary: The offer is for a Lead Real Estate Analyst responsible for driving financial and strategic analysis for critical AI infrastructure real estate decisions, including site evaluation, deal structuring, and portfolio performance monitoring. The role partners with development, finance, and operations teams to lead underwriting, market analysis, and transaction execution across multiple concurrent projects. It is a high-visibility, onsite position with direct impact on site selection and investment strategy. 🗂️ Requirements: 3–5 years of experience in real estate transactions, development, or related transaction-oriented role, Proficiency in Microsoft Excel or Google Sheets, Strong knowledge of real estate development fundamentals (title, surveys, permits, lease structures, cap rates, DCF, return on cost, development economics), Ability to synthesize large datasets and present actionable recommendations to senior stakeholders, Experience with complex, multi-party real estate transactions in a fast-paced environment, Bachelor’s degree in Finance, Real Estate, Economics, or related field 📃 Skills: Excel, GoogleSheets, DCF, FinancialModeling, Underwriting, CapRates, ReturnOnCost, MarketAnalysis, Zoning, Entitlements 🏢 Description: Why join Giga The Pace: We're building at a speed most companies talk about but never actually operate at. If you've been bored somewhere else, you won't be here. The Impact: Every person at Giga touches the work that matters. No layers, no waiting for approval chains. You'll see your fingerprints on what we ship. The Team: A team of operators defining the future of AI infrastructure. We recruit A-players from the most innovative companies in the world, and they choose Giga because the work here means more. The Moment: AI doesn't run without power, and that's us. Giga is the picks and shovels behind the AI revolution. This industry is about to explode, and you'll be in the room where it's already happening. What you'll do As Land Acquisition Manager at Giga, you will own the land acquisition, surface rights negotiation, and lease analysis that drives some of the most critical real estate decisions in AI infrastructure. You'll work directly with landowners, surface holders, and third-party brokers to secure the sites that power our development pipeline — while partnering with legal, finance, and operations to structure deals and keep projects moving. This is a high-visibility role where your work directly shapes where and how Giga builds. Where you'll work We are an in-office culture — velocity matters when you're building physical infrastructure, and the best decisions happen in the room. This role is ideally based in our Houston offices, with full-time onsite expectations outside of bi-weekly WFH Fridays. That said, we will make exceptions for truly exceptional talent if you live outside one of our hubs. If you're the right person for this role, we'll have a conversation about what works. Responsibilities Track and manage an active pipeline of real estate and land opportunities, maintaining deal status, key milestones, and financial summaries across multiple concurrent transactions Identify, contact, and negotiate directly with surface owners and landowners to secure access agreements, ROW/easements, ground leases, and purchase contracts Review, interpret, and summarize lease and contract language — identifying provisions that impact site access, development rights, operational constraints, and financial obligations Conduct market research and comparable analyses to evaluate site values, rental rates, and land market dynamics in target geographies Lead financial modeling and underwriting for land acquisitions, ground leases, and build-to-suit developments across Giga's site pipeline Support site selection by synthesizing zoning, entitlement risk, infrastructure constraints, and financial feasibility into clear investment recommendations Coordinate third-party surveyors, field brokers, and contractors; accompany teams to the field as needed to support site assessment and due diligence Collaborate with legal, development, and operations teams to review LOIs, PSAs, surface use agreements, and lease agreements, ensuring economic terms align with underwriting assumptions Maintain accurate land and lease records, deal documentation, and pipeline reporting Serve as a point of contact for landowner relationships, resolving issues and managing ongoing obligations on Giga's active asset base Requirements Demonstrated ability to negotiate and draft land agreements, surface use agreements, ROW/easements, or similar instruments Strong working knowledge of real estate and land fundamentals: lease structures, title, surveys, permits, access rights, development economics, and contract interpretation Experience reviewing and analyzing complex contractual language, identifying key obligations and risk provisions Demonstrated ability to synthesize large amounts of data and present clear, actionable recommendations to senior stakeholders Comfortable coordinating third parties in the field and managing multiple concurrent workstreams under time pressure Proficiency in Microsoft & Google suites Bonus Points Experience in data center, industrial, or energy development Familiarity with power infrastructure, utility coordination, or site feasibility analysis for high-load facilities Background in oil and gas land, surface rights, or mineral rights work Benefits Subsidized health, dental, and vision insurance Equity (options) in a rapidly growing startup 401(k) with 4% employer match Unlimited PTO Parental leave Healthcare and Dependent Care Flexible Spending Accounts (FSA) or Health Savings Account (HSA) Commuter benefits Who we hire We hire people who thrive in chaos and get sharper under pressure. You don't wait to be told what to do, you spot the gap and fill it. When there's work to be done, you do it. You make decisions with the information you have, move fast, and adjust along the way. We're not looking for perfect; we're looking for people who get things done. Equal Opportunity Employer Statement Giga Energy is an equal opportunity employer and is committed to fostering an inclusive and diverse workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Giga Energy complies with all applicable labor laws, including the California Fair Employment and Housing Act (FEHA) and other relevant state and federal regulations. We provide reasonable accommodations for qualified individuals with disabilities and encourage applicants who require accommodations during the hiring process to contact us.

🏢 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.