Director, Product Management (Data & Agentic AI Platform)

Director, Product Management (Data & Agentic Ai Platform)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 itAgentic Ai Platform - the shared harness and infrastructure that lets teams across Achieve build, launch & govern their own workflows and customer-facing agentsThis 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.What You'll DoData PlatformDefine and execute strategy for the enterprise data platform, including target architecture, sequencing, and success metricsLead migration of existing data, ETL processes, and dashboards with minimal business disruptionOptimize replication, storage, and compute to materially reduce inefficiencies and costOwn the roadmap for the enterprise data products and services across identity, consent, product interaction and insights that are leveraged by multiple product teamsEnable agentic and natural language analytics so business users can self-serve trusted insightsContext Engineering & SemanticsOwn the enterprise semantic layer and business glossary: governed definitions that serve both BI users and agentsDefine how agents get the right information, tools, instructions, and memory for each task, and how that context is assembled, versioned, tested, and kept currentSet standards for measuring context quality, including retrieval accuracy, grounding, freshness, and costDefine access models so agents see only what each user and task allowsAgentic Ai PlatformSet the vision and multi-year roadmap for the enterprise agent harness: the shared framework for building, orchestrating, evaluating, and monitoring agentsBuild a small number of reference workflows that prove the harness and give other teams a model to followEnable teams across operations, servicing, sales, and corporate functions to build and run their own workflows on the platform, prioritized by value and feasibilityEnable new capabilities for customer-facing AI experiences and voice agents, including authentication, latency, human handoff, and complianceSupport AI-driven SDLC to measurably improve engineering throughput and qualityTrack new AI frontier models, agent frameworks, and emerging standards, and translate what matters into platform decisions, including when to adopt, swap, or avoidGovernance & ChangeBuild 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 usedGuide teams to rethink how they operate, not just automate existing operational steps and report progress and tradeoffs on the AI transformation to senior executivesMake infrastructure, token, and inference cost visible and manageable for the teams that incur it, and manage vendor and model spend as part of the roadmapPartner with Data Engineering, InfoSec, and Compliance on building governance, lineage, quality, privacy, and access controls into the platform designQualificationsWhat You Bring10+ years of product management experience owning platform, data, infrastructure, including services and APIs consumed by other teamsA platform mindset: with examples of building shared infrastructure that delivered operating leverage to the company, rather than a series of standalone point solutionsExperience leading large data or platform migrations, and managing cost across cloud, storage, model, and vendor spendKnowledge of modern data architecture, including warehouses and lakehouses (such as Snowflake and Databricks), ETL/ELT, event streaming, semantic layers, metric stores, and ontologiesExperience building data governance into a platform: lineage, quality, privacy, and access controls, ideally in a regulated business such as financial servicesWorking understanding of security, fraud and regulatory risks specific to AI systems and sensitive financial data, and experience building controls for regulated businessesComfort 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 attributedProven ability to influence senior stakeholders and drive outcomes without direct authority, and to explain technical concepts to executive audiencesStrong PlusRecent, demonstrated experience building agentic workflows for scaled operational use, and the ability to show what you built, what broke, and what you changedExperience managing model, token, and inference cost for AI workloadsExperience with customer-facing or voice AI, including authentication, latency, human handoff, and complianceExperience applying AI to the software development lifecycleExperience mentoring or leading product managersAchieve 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 LeadershipMaintains 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 & AgileSets 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 OutcomeDrives 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 & CapabilityIdentifies 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.Additional InformationAchieve Well-Being With:Hybrid and remote work opportunities401 (k) with employer matchMedical, dental, and vision with HSA and FSA optionsCompetitive vacation and sick time off, as well as dedicated volunteer daysAccess to wellness support through Employee Assistance Program, Talkspace, and fitness discountsUp to $5,250 paid back to you on eligible education expensesPet care discounts for your furry family membersFinancial support in times of hardship with our Achieve Care FundA safe place to connect and a commitment to diversity and inclusion through our six employee resource groupsNote: 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.