Senior Product Manager

Senior Product Manager

Fexa is seeking a Senior Product Manager to lead AI products and use cases within our flagship CMMS platform. This role owns two engineering pods and operates at the intersection of AI product strategy, platform thinking, and revenue growth. You will define multi-product-line roadmaps, make hard portfolio-level trade-offs, and connect every decision directly to business outcomes.

This position is not a feature coordinator — this is the strategic owner of a fast-moving, AI-first product area. The Senior Product Manager will collaborate with customers, engineering, data, design, sales, and CS — and translate complex AI capabilities into clear value for operators and providers across multi-site facilities management.

Multi-Pod Ownership

The Senior PM is expected to span both pods simultaneously, balance competing priorities, and keep teams aligned to a shared mission and vision.

• AI Agents: Owns the strategy, roadmap, and execution of Fexa's embedded AI product layer — including customer-facing agent products for operators. Specific initiatives will evolve with the roadmap; this PM is accountable for defining what gets built, in what order, and why — and for tying each product line to measurable business outcomes.

• CMMS Workflow: Owns the transactional and operational backbone of FexaCMMS — the platform features, workflow configuration, and core logic that every AI agent runs on. Investment decisions here have compounding leverage across the entire product portfolio; this PM is accountable for balancing platform health against product-line velocity.

Duties and Essential Functions

• Own AI Agent Products: Define and execute the roadmap for FexaAI's embedded intelligence layer, including the Work Order Agent (live) and a growing suite of future operator-facing agents. Establish distinct strategies, success metrics, and go-to-market motions for each agent product.

• Own the Workflow Engine: Set strategy for the workflow platform that underpins every AI agent — work orders, invoices, proposals, dispatch, assignments, budgets, and user management. Decide what to invest in and make those trade-offs legible across the org.

• Drive Multi-Product Roadmaps: Build and manage roadmaps across multiple product lines. Make portfolio-level trade-offs when pods compete for shared resources. Sequence investments to hit revenue targets. Know what to build first, second, and what to deliberately defer.

• Specify & Ship: Write crisp PRDs with clear definitions, acceptance criteria, and tracking plans. Partner with engineering, UX, and QA on trade-offs to deliver high-value outcomes on time.

• Measure & Iterate: Define success metrics per product line and for overall portfolio health. Set leading indicators that tell you when to double down on one product line vs. shift investment to another. Tie product outcomes directly to revenue goals.

• Communicate Across Audiences: Present confidently to executive audiences. Align cross-functional teams. Translate complex AI capabilities into clear narratives for non-technical stakeholders — then back into precise requirements for engineering.

• Allocate Resources: Own resource allocation across pods with a clear framework. Respond decisively when products diverge in performance. Balance competing priorities without losing sight of the mission.

• Scan the Horizon: Track AI, CMMS, and workflow automation trends. Turn market signal into pragmatic product bets. Maintain opinionated convictions about what will win in this market — and defend them.

Competencies

• Revenue-Connected Product Thinking: Every decision ties back to strategic goals and business outcomes. Not just shipping features — shipping impact.

• Autonomy at Altitude: Owns one or more dev pods with full accountability. Spans multiple strategic projects, balances allocation directives, and keeps teams locked on mission and vision.

• Multi-Product-Line Strategic Ownership: Defines clear product line boundaries, builds distinct strategies for each, and makes hard portfolio trade-offs.

• AI/ML Product Intuition: Understands the unique challenges of shipping AI products — accuracy, trust, adoption curves, feedback loops — and navigates them with credibility.

• Platform Thinking: Sees how platform investments create leverage across product lines; can articulate when to invest in the foundation vs. ship in a product line.

• Executive-Grade Communication: Brings stakeholders along. Aligns cross-functional teams and presents confidently to executive audiences.

• Prioritization Rigor: Decides what to build — and what not to build — with a clear, communicable framework tied to ROI, effort, and impact.

• Initiative: Does more than is required. Identifies opportunities before they're requested and acts on them with urgency and ownership.

Experience

• 5–8 years in Product Management with end-to-end launches; experience in startup culture and environments strongly preferred.

• Demonstrated experience building and shipping customer-facing AI products — not just integrating APIs, but owning the full lifecycle: problem definition, accuracy, trust, adoption curves, and feedback loops.

• Active practitioner of AI in your own workflow. Uses AI tools daily to automate tasks, accelerate research and documentation, and compress the time from insight to output. This is a lived habit, not a talking point.

• Proven ability to manage multi-product-line portfolios with shared engineering capacity and distinct success metrics.

• Strong analytical skills and experimentation mindset; comfortable turning ambiguous problems into shippable, measurable work.

• B2B SaaS background required; CMMS, field service, or facilities management experience is a plus.

• Marketplace and subscription experience is a bonus; double-sided marketplace experience a double-bonus.

Skills

• Exceptional communicator: makes complex AI and product strategy accessible to any audience — technical or non-technical.

• Customer-obsessed, outcome-oriented, and pragmatic.

• Strong roadmapping, prioritization (ROI/effort/impact), and organizational discipline across multiple product lines.

• Active and fluent user of AI tools for daily task automation, synthesis, documentation, and productivity acceleration.

• Collaborative, low-ego teammate who elevates cross-functional execution.

Education

• Bachelor's degree in Computer Science, Engineering, Business, or related field (or equivalent work experience).

Physical Requirements/Work Environment

Work is primarily sedentary in nature due to office responsibilities; no special physical demands are required. When required to travel for this job, the employee is regularly required to stand, walk, sit; use hands to finger, handle, or feel; reach with hands and arms and talk or hear. On occasion, the employee must be able to lift 35 lbs. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

EEOC Statement

We believe our strength comes from having a team of people with diverse backgrounds, experiences, and perspectives. We're committed to creating an inclusive environment where everyone can bring their whole self to work and feel supported, valued, and empowered to succeed. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability, or any other legally protected status. We are also committed to providing reasonable accommodations to individuals with disabilities throughout the hiring process and in the workplace. If you need assistance or accommodation, please contact us at View email address on click.appcast.io