Director, Product Management (Data & Agentic AI Platform)

Job description

About this role: Achieve is redefining how customers experience financial help and its internal operating model, with AI at the center rather than bolted on. We're looking for a Director of Product Management to own the two foundational enterprise capabilities that make that possible: Data Platform - the governed data foundation and semantic layer that enable agentic workflows, natural language analytics and standardized reporting, along with the enterprise consumer data products built on it Agentic AI Platform - the shared harness and infrastructure that lets teams across Achieve build, launch & govern their own workflows and customer-facing agents This is initially a hands-on senior individual contributor role: you will define the platform strategy and roadmap, inform the early technology and vendor choices and work alongside engineering, data, security, risk, compliance teams to get both platforms launched and operating at scale. As the platforms mature and become more embedded into the business, we expect this role grows into a team leadership position. Why this role matters: A shared platform foundation enables AI at Achieve to operate at scale, so that every new agent, voice experience, and analytics capability benefits from what came before. Agents are faster to build, cheaper to operate, safer to run and better informed because they share data, context, learnings and governance. The choices made by this leader early on will shape how Achieve builds and operates for years. Done well, this role will: Replace static dashboards and traditional BI reports with a real-time end-to-end view of the business, where people can ask questions in plain language and get trusted answers Deliver the governed data foundation and shared agent harness that let teams design, launch, measure, and govern their own AI-driven workflows Help teams rethink how they operate around agents, with guardrails that scale with risk, in a regulated industry where trust and auditability are non-negotiable What you'll do Data Platform Define and execute strategy for the enterprise data platform, including target architecture, sequencing, and success metrics Lead migration of existing data, ETL processes, and dashboards with minimal business disruption Optimize replication, storage, and compute to materially reduce inefficiencies and cost Own the roadmap for the enterprise data products and services across identity, consent, product interaction and insights that are leveraged by multiple product teams Enable agentic and natural language analytics so business users can self-serve trusted insights Context Engineering & Semantics Own the enterprise semantic layer and business glossary: governed definitions that serve both BI users and agents Define how agents get the right information, tools, instructions, and memory for each task, and how that context is assembled, versioned, tested, and kept current Set standards for measuring context quality, including retrieval accuracy, grounding, freshness, and cost Define access models so agents see only what each user and task allows Agentic AI Platform Set the vision and multi-year roadmap for the enterprise agent harness: the shared framework for building, orchestrating, evaluating, and monitoring agents Build a small number of reference workflows that prove the harness and give other teams a model to follow Enable teams across operations, servicing, sales, and corporate functions to build and run their own workflows on the platform, prioritized by value and feasibility Enable new capabilities for customer-facing AI experiences and voice agents, including authentication, latency, human handoff, and compliance Support AI-driven SDLC to measurably improve engineering throughput and quality Track new AI frontier models, agent frameworks, and emerging standards, and translate what matters into platform decisions, including when to adopt, swap, or avoid Governance & Change Build safety into the platform design: evaluation, audit trails, approval thresholds, human-in-the-loop checkpoints, and rollback, matched to risk, including judgment on where AI should not be used Guide teams to rethink how they operate, not just automate existing operational steps and report progress and tradeoffs on the AI transformation to senior executives Make infrastructure, token, and inference cost visible and manageable for the teams that incur it, and manage vendor and model spend as part of the roadmap Partner with Data Engineering, InfoSec, and Compliance on building governance, lineage, quality, privacy, and access controls into the platform design What you bring 10+ years of product management experience owning platform, data, infrastructure, including services and APIs consumed by other teams A platform mindset: with examples of building shared infrastructure that delivered operating leverage to the company, rather than a series of standalone point solutions Experience leading large data or platform migrations, and managing cost across cloud, storage, model, and vendor spend Knowledge of modern data architecture, including warehouses and lakehouses (such as Snowflake and Databricks), ETL/ELT, event streaming, semantic layers, metric stores, and ontologies Experience building data governance into a platform: lineage, quality, privacy, and access controls, ideally in a regulated business such as financial services Working understanding of security, fraud and regulatory risks specific to AI systems and sensitive financial data, and experience building controls for regulated businesses Comfort working with code, prompts, and evaluation frameworks, with the depth to earn credibility with engineering teams. Ability to link platform work to the business outcomes it enables and show value that is indirect rather than directly attributed Proven ability to influence senior stakeholders and drive outcomes without direct authority, and to explain technical concepts to executive audiences Strong plus Recent, demonstrated experience building agentic workflows for scaled operational use, and the ability to show what you built, what broke, and what you changed Experience managing model, token, and inference cost for AI workloads Experience with customer-facing or voice AI, including authentication, latency, human handoff, and compliance Experience applying AI to the software development lifecycle Experience mentoring or leading product managers Achieve Leader Model Expectations (Director Level) In accordance with Achieve’s Lead Forward Rubric, this Director position requires demonstrated excellence across four foundational leadership pillars: 1. Trusted, Steady Leadership Maintains composure and steady communication during high-pressure pivots. Instills trust across teams through consistency, fairness, and transparent communication. Bridges the competing stakeholder priorities, using credibility and relationships to align divergent teams around shared goals. 2. Focused & Agile Sets high-impact objectives that streamline cross-team execution and remove low-value work. Actively leads teams through change by providing context, engaging managers, addressing resistance, and adjusting plans as needed. Navigates complex ambiguity with confidence, evaluating options and providing sufficient clarity for teams to act while remaining flexible. 3. Own the Outcome Drives consistently high performance through disciplined execution and clear, transparent accountability practices. Standardizes core cross-team workflows so execution remains dependable without relying on crisis management or individual heroics. Actively identifies where workflows break down between managers, replacing manual workarounds with repeatable, scalable procedures. 4. Grow People & Capability Identifies key talent, holds managers accountable for developing their teams, and supports active coaching. Drives strong leadership development across teams and builds capable managers. Invests in coaching, feedback, and growth opportunities to elevate capability and consistency across the function. Achieve well-being with: Hybrid and remote work opportunities 401 (k) with employer match Medical, dental, and vision with HSA and FSA options Competitive vacation and sick time off, as well as dedicated volunteer days Access to wellness support through Employee Assistance Program, Talkspace, and fitness discounts Up to $5,250 paid back to you on eligible education expenses Pet care discounts for your furry family members Financial support in times of hardship with our Achieve Care Fund A safe place to connect and a commitment to diversity and inclusion through our six employee resource groups Note: We will be unable to facilitate H1-B Visa transfer or sponsorship, along with STEM-OPT Visa. Work from home/hybrid: We are proudly offering hybrid options in the San Francisco, CA metro market only. Not hiring outside of S.F., CA market. Salary Range : $220,000 to $250,000 salary + bonus + benefits. This information represents the expected salary range for this role. Should we decide to make an offer for employment, we'll consider your location, experience, and other job-related factors. Join Achieve, change the future. At Achieve, we’re changing millions of lives. From the single parent trying to catch up on bills to the entrepreneur needing a loan for the next phase of growth, you’ll get to be a part of their journey to a better financial future. We’re proud to have over 3,000 employees in mostly hybrid and 100% remote roles across the United States with hubs in Arizona, California, and Texas. We are strategically growing our teams with more remote, work-from-home opportunities every day to better serve our members. A career at Achieve is more than a job—it’s a place where you can make a true impact, have a sense of belonging, establish a fulfilling career, and put your well-being first. Attention Agencies & Search Firms: We do not accept unsolicited candidate resumes or profiles. Please do not reach out to anyone within Achieve to market your services or candidates. All inquiries should be directed to Talent Acquisition only. We reserve the right to hire any candidates sent unsolicited and will not pay any fees without a contract signed by Achieve’s Talent Acquisition leader. Achieve is a leading digital personal finance company. We help everyday people move from struggling to thriving by providing innovative, personalized financial solutions. By leveraging proprietary data and analytics, our solutions are tailored for each step of our member's financial journey to include debt consolidation, personal loans, home equity loans, financial tools and education. Every day, we get to help our members move their finances forward with care, compassion, and empathetic touch. We put people first and treat them like humans, not account numbers. The fintech industry is large and growing. Over $11T in home equity is sitting untapped across US homeowners - most haven’t borrowed against it yet, while personal loan balances just hit a record $276Bn from four years in a row of growth, with no signs of slowing. Consumers continue to face mounting debt. Credit card delinquencies are up 38%, leading to more demand for debt relief services. Achieve continues to support members and meet them wherever they are on their journey. Since 2002, Achieve has grown into one of the largest private consumer fintech unicorns in the U.S., with over $57B in enrollments for our industry-leading, tech-enabled debt resolution services business, and over $16Bn in personal and home loans originations.