Director, Product Management (Data & Agentic AI Platform)

Achieve • San Mateo, CA

8h • $220,000 - $250,000 • Hybrid

About The Position

Achieve is seeking a Director of Product Management to own the strategy and launch of two foundational enterprise capabilities: a governed Data Platform and a shared Agentic AI Platform. The Data Platform will provide the governed data foundation, semantic layer, and enterprise consumer data products needed for agentic workflows, natural-language analytics, and standardized reporting. The Agentic AI Platform will provide shared infrastructure for teams to build, launch, orchestrate, evaluate, monitor, and govern AI workflows and customer-facing agents.

This is initially a hands-on senior individual contributor role. The Director will define platform strategy and roadmaps, inform early technology and vendor choices, and partner with engineering, data, security, risk, and compliance teams to launch and scale both platforms. As the platforms mature and become embedded in the business, the role is expected to grow into team leadership.

The role will establish data architecture and enterprise data products; lead migrations and improve infrastructure efficiency; own semantic definitions and agent context standards; and enable teams across operations, servicing, sales, and corporate functions to build AI-driven workflows. It will also establish risk-appropriate platform governance, safety, auditability, access controls, and cost management, while guiding operational change and communicating progress and tradeoffs to senior executives. The position is hybrid in the Phoenix, AZ and San Francisco, CA metro areas, with fully remote work available in other approved PST, MST, and CST locations.

Requirements

• 10+ years of product management experience owning platforms, data, or infrastructure, including services and APIs consumed by other teams.
• Examples of building shared infrastructure that delivered operating leverage rather than a series of standalone point solutions.
• Experience leading large data or platform migrations and managing cloud, storage, model, and vendor costs.
• 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, including lineage, quality, privacy, and access controls; experience in regulated financial services is desirable.
• 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 enough depth to earn credibility with engineering teams.
• Ability to connect platform work to business outcomes, including 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.
• Demonstrated excellence in trusted, steady leadership; focused and agile execution; outcome ownership; and developing people and organizational capability, consistent with Achieve’s Director-level leadership expectations.

Nice To Haves

• Recent demonstrated experience building agentic workflows for scaled operational use, including the ability to explain what was built, what broke, and what changed.
• Experience managing model, token, and inference costs 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.

Responsibilities

• Define and execute the enterprise data platform strategy, including target architecture, sequencing, and success metrics.
• Lead migration of existing data, ETL processes, and dashboards while minimizing business disruption.
• Optimize data replication, storage, and compute to reduce inefficiencies and costs.
• Own the roadmap for enterprise data products and services across identity, consent, product interaction, and insights.
• Enable agentic and natural-language analytics so business users can self-serve trusted insights.
• Own the enterprise semantic layer and business glossary, establishing governed definitions for BI users and agents.
• Define how agent context, including information, tools, instructions, and memory, is assembled, versioned, tested, and maintained.
• Set standards for measuring context quality, including retrieval accuracy, grounding, freshness, and cost.
• Define access models that limit agents to information permitted for each user and task.
• Set the vision and multi-year roadmap for the enterprise agent harness used to build, orchestrate, evaluate, and monitor agents.
• Build reference workflows that demonstrate the agent harness and provide models for other teams.
• Enable teams across operations, servicing, sales, and corporate functions to build and run workflows on the platform, prioritizing by value and feasibility.
• Enable customer-facing AI experiences and voice agents, including authentication, latency, human handoff, and compliance capabilities.
• Support AI-driven software development lifecycle capabilities to improve engineering throughput and quality.
• Track AI models, agent frameworks, and emerging standards, translating relevant developments into platform decisions about adoption, replacement, or avoidance.
• Build safety into platform design through evaluation, audit trails, approval thresholds, human-in-the-loop checkpoints, and rollback, matched to risk; determine where AI should not be used.
• Guide teams in rethinking operations around agents and report AI transformation progress and tradeoffs to senior executives.
• Make infrastructure, token, and inference costs visible and manageable, and manage vendor and model spend as part of the roadmap.
• Partner with Data Engineering, InfoSec, and Compliance to build governance, lineage, quality, privacy, and access controls into the platform.
• As the role develops, grow into a team leadership position; mentoring or leading product managers is listed as a strong plus.

Benefits

• 401(k) with employer match.
• Medical, dental, and vision coverage, with HSA and FSA options.
• Competitive vacation and sick time off, plus dedicated volunteer days.
• Wellness support through an Employee Assistance Program, Talkspace, and fitness discounts.
• Up to $5,250 reimbursement for eligible education expenses.
• Pet care discounts.
• Financial support in times of hardship through the Achieve Care Fund.
• Six employee resource groups and a commitment to diversity and inclusion.
• Hybrid and remote work opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed