Director, Platform and Intelligence Value Stream

Elite is the trusted automation platform for law firm operations across most of the world’s largest and most successful law firms. Elite has guided firms through every technology shift and today delivers the only cloud-native SaaS platform that unifies financial, invoice, time, and data management into a single system of action. With embedded AI, predictive analytics, and integrated payments, Elite’s products enable firms to shorten billing cycles, reduce write-offs, and unlock firm-wide insights, making financial operations the foundation for law firm innovation and growth. Learn more at elite.com.

Elite is hiring a Director , Platform & Intelligence Value Stream to own the value stream end to end — the shared platform foundation every Elite product is built on, together with the productization of our AI and data capabilities. You will own the roadmap for orchestration, conversational AI, rules, unified access, and the event backbone, and turn those services into a reusable foundation that our financial, work-to-cash, and internal business product lines build on rather than around.

This is both a strategy role and a delivery role. You will carry the what and why for the stream — a single prioritized backlog, roadmap sequencing, and requirements translation through release commitment and delivery — pair daily with an engineering delivery unit, and lead a small standing team of domain and analyst talent. Because the platform is horizontal, you will sit upstream of every customer-facing product line, and you will be measured on the return the stream delivers rather than on output volume.

Own the product roadmap for Elite's shared platform services — including workflow orchestration, conversational AI, and business rules — and sequence their maturity from foundation to scale.

Own the product direction for unified access and entitlements — authorization, user management, data-level security, and subscription-driven feature access across Elite applications.

Treat the platform as a product with internal customers, defining the patterns, contracts, and adoption paths by which other product teams consume shared services, so capability is built once and reused.

Partner with Engineering on the shared infrastructure and sequencing that let product teams build on the platform rather than around it.

Own productization of workflow- and agent-driven capabilities that move customers beyond traditional reporting toward AI that takes action inside their day-to-day financial and legal workflows.

Turn data assets into productized offerings on a modern cloud data platform, with clear value metrics and pricing.

Shape product and go-to-market strategy for integrations that give customers richer, real-time access to their data, including through third-party AI tools.

Define and prioritize a single backlog around customer outcomes and return on investment, and drive it from backlog through release commitment and delivery.

Set quarterly outcomes for the stream and point the paired delivery unit at the highest-value work; own feasibility, trade-offs, escalations, and backlog readiness.

Lead and grow the stream's standing team of domain and analyst talent, raising the bar on domain depth and AI fluency.

Act as the product voice in architectural and platform prioritization, steering infrastructure investment toward the capabilities that drive customer outcomes and revenue.

Partner with Security and Architecture from the outset of each initiative to build data governance, access control, auditability, and appropriate safeguards into agentic products and integrations that handle privileged and financial data.

Ensure agents inherit user-level permissions, including data-level security, so intelligence and automation stay within firm entitlements by design.

Define value metrics and commercial models that make return on investment legible to customers and to the business.

Use usage data, customer insight, and financial metrics to drive prioritization for adoption, retention, and revenue impact.

​​Bachelor's Degree​ or equivalent education and experience.

10+ years in product management, including direct ownership of platform, data, analytics, or AI/ML products, with at least three years leading product managers or end-to-end delivery.

Demonstrated experience productizing AI/ML or agentic capabilities into shipped B2B products — not only analytics or BI reporting. This is a core requirement.

Hands-on experience productizing platform or foundational services — workflow and orchestration, identity and entitlements, rules engines, or shared data services — consumed by multiple product teams.

Experience building or productizing data offerings on a modern cloud data platform or lakehouse architecture (for example Microsoft Fabric, Databricks, or Snowflake), with the technical fluency to make sound build trade-offs.

Experience packaging, pricing, and commercializing data products or platform integrations, including connectors or APIs that expose data to third-party tools or AI assistants.

Direct experience with data governance, access control, or compliance in a regulated or sensitive-data setting, and comfort partnering closely with Security and Architecture.

A track record of end-to-end delivery ownership — turning strategy into measurable, shipped outcomes — with fluency in backlog management and outcome metrics.

Proven people leadership: hiring, developing, and directing product and analyst talent, and leading through influence across Engineering and business partners.

Exceptional communication and stakeholder management, with a bias toward focus, prioritization, and measurable outcomes.

Experience building or operating complex B2B SaaS platforms in ERP, financial systems, legal technology, or another regulated environment, preferred.

Familiarity with Azure DevOps or comparable backlog and delivery tooling, preferred.

Must be legally authorized to work in​​United States​; ​Elite does not provide employment sponsorship for this position​

Please note that we do not offer sponsorship for this position.

At Elite Technology, we embrace an employee-centric, flexible work model that empowers you to do your best work in the environment that suits you. However, we also recognize the importance of in-person collaboration for key moments that truly matter.

In our flexible remote approach, you have the freedom to choose a workspace within your home country that best fits your needs. Our corporate offices are located in New York City, Los Angeles, Costa Rica, and the Philippines, providing additional options for those who prefer or need a hybrid work environment.

Our diverse global team spans the U.S., Canada, U.K., Costa Rica, the Philippines, and Australia. Please note that at this time, we are unable to hire employees located in Quebec or Ontario Provinces, Alaska, Hawaii, Puerto Rico, Louisiana, and Oklahoma.

As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. We are proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

We also provide reasonable accommodation for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

We are not accepting applications submitted through recruiting agencies.

- 8+ years of product management experience, with at least 3 years leading platform or infrastructure products in a SaaS environment

- Proven track record of owning end-to-end product strategy, roadmap, and delivery for complex, horizontal platform services

- Deep understanding of AI/ML capabilities, data management, and event-driven architectures

- Strong technical acumen to partner daily with engineering delivery units and translate requirements into release commitments

- Excellent stakeholder management skills, working upstream of multiple customer-facing product lines

- Metrics-driven mindset, focused on business return and value stream outcomes rather than output

- Bachelor’s degree in Computer Science, Engineering, Business, or related field; MBA preferred