Director, Product Management (Data & Agentic AI Platform)

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. Were looking for a Director of Product Management to own the two foundational enterprise capabilities that make that possible:

1. 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
    
2. 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 youll 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

Qualifications :

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 Achieves 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.

Additional Information :

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 $5250 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 Phoenix AZ and San Francisco CA metro market. We are offering 100% remote work in other approved PST MST CST locations.

Salary Range: $220000 to $250000 salary bonus benefits.

This information represents the expected salary range for this role. Should we decide to make an offer for employment well consider your location experience and other job-related factors.

Join Achieve change the future.

At Achieve were 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 youll get to be a part of their journey to a better financial future. Were proud to have over 3000 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 jobits 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 Achieves Talent Acquisition leader.

Remote Work :

No

Employment Type :

Full-time