Senior Product Manager

Posted 2 Hours Ago
Hiring Remotely in United States
Remote
150K-168K Annually
Senior level
Artificial Intelligence • Enterprise Web • Software • PropTech
The Role
Lead the Asset Intelligence product area: define asset data foundation strategy, own roadmaps for one-to-two engineering pods, write PRDs, measure outcomes tied to revenue, prioritize portfolio investments, collaborate across engineering, data, design, sales and customers, and evaluate AI solutions to strengthen asset functionality and enterprise opportunities.
Summary Generated by Built In

JOB SUMMARY

Fexa is seeking a Senior Product Manager to lead Asset Intelligence products within our Fexa platform. This role supports one to two engineering pods and operates at the intersection of product strategy, asset data foundations, and revenue growth. You will define 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 product area that forms the asset backbone of the Fexa platform. The Senior Product Manager will collaborate with customers, engineering, data, design, sales, and CS, and translate complex asset capabilities into clear value for operators and providers across multi-site facilities management.

POD OWNERSHIP

The Senior PM is expected to support one to two engineering pods simultaneously, balance competing priorities, and keep teams aligned to a shared mission and vision.

  • Asset Intelligence: Owns asset integration, the core asset data foundation, and strategic innovations that strengthen how assets are modeled, tracked, and leveraged across the platform. This work will also evaluate AI solutions to enhance asset functionality on the future roadmap. Investment decisions here have compounding leverage across the entire product portfolio and are key to unlocking enterprise opportunities.

DUTIES AND ESSENTIAL FUNCTIONS

  • Own the Asset Foundation: Set strategy for asset capabilities across the platform, including asset integration, the core asset data model and hierarchy, and strategic innovations. Decide what to invest in and make those trade-offs legible across the org; asset foundation investments create leverage for every product line, core workflow experiences and open the door to enterprise opportunities.

  • Drive Multi-Product Roadmaps: Build and manage roadmaps across one or more pods. 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, epics and stories with excellent acceptance criteria, and tracking plans. Partner with engineering, and UX 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 asset data concepts 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 asset management, CMMS, and AI 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 Product Intuition: Understands the unique challenges of shipping AI-assisted products (accuracy, trust, adoption curves, feedback loops) and can identify where AI creates real leverage in asset workflows.

  • 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 data-heavy platform products end to end: problem definition, data model design, integrations, adoption, and iteration. Experience shipping customer-facing AI or AI-assisted products is a strong plus.

  • 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.

  • Asset management or data-platform domain experience is a strong plus.

SKILLS

  • Exceptional communicator: makes complex asset 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 [email protected]

Skills Required

  • 5-8 years in Product Management with end-to-end launches
  • Experience in startup culture and environments
  • Experience building and shipping data-heavy platform products end to end (data model design, integrations, adoption)
  • Experience shipping customer-facing AI or AI-assisted products
  • Active practitioner of AI tools in your daily workflow
  • Proven ability to manage multi-product-line portfolios with shared engineering capacity
  • Strong analytical skills and experimentation mindset
  • B2B SaaS background
  • CMMS, field service, or facilities management experience
  • Asset management or data-platform domain experience
  • Exceptional communication and executive presentation skills
  • Bachelor's degree in Computer Science, Engineering, Business, or related (or equivalent work experience)
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The Company
92 Employees
Year Founded: 2011

What We Do

Fexa is an AI-native facilities management SaaS platform built for enterprise, multi-site operations. It provides a highly configurable solution to help facilities and operations teams improve efficiency, reduce costs, and maintain oversight at scale. Serving diverse markets like retail, healthcare, and restaurants, Fexa’s portfolio includes a CMMS, refrigerant management software, and a vendor sourcing network to streamline maintenance and compliance.

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