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Senior Product Manager
Homebound · Santa Rosa, California, United States
Pay
$130k–175k
Setting
Remote
About Us:
Homebound is on a mission to make it possible for anyone, anywhere, to build a home using technology. Created by an experienced team of construction, real estate, design, and technology experts, Homebound is transforming the residential construction industry by improving the costly and inefficient process of building a home.
We’ve created an entirely new way to build homes with technology powering every stage from start to finish to provide a seamless experience for our customers. Homeowners across the country can choose where they want to live, select a home plan that’s perfect for them, then personalize and buy it, all online. Homebound has raised $150M in capital from leading venture capitalists like Google, Khosla, Thrive Ventures, and we’re scaling quickly in places like Texas, Colorado and Florida. Come build your future with us.
ABOUT THE ROLE:
We are hiring a Senior Product Manager to help us accelerate how homes get built.
This is a broad, high-leverage role for a product manager who wants surface area. You will own critical parts of our platform end-to-end - the systems that price a home, schedule a build, manage cost and margin, coordinate trade partners, and give our teams the information they need to make faster, better decisions. Where you focus will evolve with the business, and you will be trusted to pick up and own new squads as our priorities shift.
The through-line is speed. Every week we take off a build cycle, every dollar of variance we catch early, and every decision we can automate compounds across every home we build. You will be measured on real operational outcomes - cycle time, cost accuracy, margin, throughput, adoption - not on shipping features.
Much of this work runs on genuinely complex data: cost structures, budgets and actuals, change orders, draw schedules, vendor pricing, and multi-month probabilistic schedules. We need the kind of PM who goes into the data personally, notices when a number does not reconcile, and cares about getting it exactly right - because our operators and our financials depend on it.
AI is not a separate track here - it is deeply integrated into the platform, and we expect it to be part of how every new feature gets designed. The default question on any problem is not “what screen does the user need?” but “how much of this can the system decide, predict, draft, or eliminate outright?” We want a PM who reaches for LLMs, agents, and applied ML as first-class primitives in the product, holds a clear view of where they genuinely outperform deterministic logic, and is equally clear-eyed about where they do not belong.
WHAT YOU'LL DO:
- Own a portfolio end-to-end. Set strategy, define the roadmap, and drive execution from concept through rollout and adoption for the squads you own.
- Go where the leverage is. Take on new squads and problem spaces as the business needs them, ramping quickly on unfamiliar domains without waiting for a handoff document.
- Make the numbers trustworthy. Build products on top of complex financial and operational data - budgets, actuals, cost structures, schedules, vendor pricing - with the rigor that data demands.
- Build AI into every feature. Treat AI as a default design consideration rather than a special project - look at each workflow and ask what the system can predict, decide, draft, or remove entirely, then ship it with real evaluation and quality frameworks behind it.
- Define product with precision. Write clear, actionable requirements. Think through edge cases before engineering finds them. Prioritize on impact, effort, and long-term value.
- Measure what matters. Define success metrics up front, instrument them, and run experiments to systematically improve cycle time, cost accuracy, and adoption.
- Drive across functions. Operate independently across Construction Operations, Finance, Sales, Design, and Engineering, moving initiatives forward without heavy process.
WHAT YOU'LL BRING:
- 5+ years of product management experience, including ownership of a complex, technical product.
- Exceptional analytical rigor and comfort with messy, high-stakes data. You write your own queries, build your own models, and reconcile numbers yourself rather than waiting on someone else.
- Experience with financial or operational data products - cost, pricing, margin, budgeting, forecasting, supply chain, scheduling, or similar - where accuracy is non-negotiable.
- Genuine detail orientation. You catch the discrepancy nobody else noticed, and you sweat the edge cases that determine whether a workflow actually holds up in production.
- A metrics-driven operating style: you define success quantitatively, instrument it, and hold yourself to it.
- Strong technical fluency - comfortable operating alongside engineers and ML teams as peers, reasoning through system tradeoffs, and reading evaluations.
- An AI-first instinct in how you design product. You look at a workflow and see what the system could decide or automate, not just what interface a person needs - and you can tell the difference between a problem AI genuinely solves and one where it adds risk without adding value.
- Breadth and adaptability: a track record of owning multiple product areas, or stepping into new domains and getting productive fast.
- 0 to 1 product building - hands-on experience taking a product from concept through launch to real-world adoption.
- Exceptional communication skills, and the ability to translate between operators, technical teams, and executive leadership.
- A self-starter who thrives in ambiguity, moves quickly, and drives outcomes cross-functionally without a playbook.
- Interest in construction and the built environment is a plus. No prior industry experience required, but an expectation to learn the domain rapidly.
Our Commitment:
We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply. To apply, please submit an application with your resume on the Career’s page.
Homebound is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Homebound considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.
Our Compensation Philosophy:
Our salary ranges are determined by role, level, and location. Please note that the salary range displayed on each job posting may vary by state. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter will share more about the specific salary range for your preferred location during the hiring process. Please note that each job posting includes a general description of any other compensation offered for the position in addition to the salary range displayed on the job posting. You can find information about our benefits here https://drive.google.com/file/d/1B9WSBBE-fDRH0jSaDX2zsfMfxQSe5DqE/view?usp=drive_link.
Listed by Homebound for a position based in the United States. Employers on this board attest they are hiring domestically.
Principal Technical Product Manager (R5249)
Shield AI · United States
Pay
$220k–330k
Setting
Remote
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Principal Technical Product Manager (R5249)
United States / San Diego, California / Washington, DC / San Mateo, California / Dallas, Texas / RemoteHivemind Special Division – Special Projects /Full Time Employee /On-Site
APPLY FOR THIS JOB
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Job Description:
The Special Projects team at Shield AI is an elite force within the office of the CTO. It consists of a group of very senior (L5-L8) and highly experienced software engineering experts from diverse fields (aerospace, robotics, cloud infrastructure, game development, interactive media design, ...). The charter of this group is to steer technology development towards strategic alignment with the CTO's vision, through tactical insertion into teams and technologies across the organization. Individuals within this team make direct and at times forward-sprinting contributions to all three pillars of Hivemind, Shield AI's software ecosystem for developing and deploying resilient intelligent teaming for aircrafts. Hivemind consists of four products: EdgeOS (C++ based high-performance middleware for autonomy development), Pilot (autonomy for the edge built atop EdgeOS; a models-based, modular and open architecture C++ codebase), Forge (Shield AI's AI Factory for the design, development, and testing of Hivemind Edge systems; a service-oriented architecture leveraged through an SDK, CLI, and web portal; a Go, Python, Typescript codebase), Commander (Software and hardware to support rich human-in-the-loop and human-on-the-loop interactions with the Hivemind; a C++-based back-end for interaction with Pilot; and a web-application UI for mission planning, command and control by operators implemented in a Typescript/React codebase).
The Special Projects team is chartered to operate effectively within ambiguity. While this team does not own any software products, it tactically and strategically impacts the development of all foundational Hivemind products and leverages those technologies to rapidly deliver low-TRL solutions. This work happens shoulder-to-shoulder with the product teams in some cases, and in a forward-sprinting manner within the Special Projects team in other cases. The result is direct contribution to products in the former case, and development of reference implementations in the latter. The Special Projects team also functions as a pipeline for product and solution engineering teams across the organization. Individuals who enter the Special Projects team rapidly gain depth and breadth in their understanding of the Hivemind software ecosystem. This positions them well for leading technology development effort across the product and solution organization.
What you'll do:
Own product definition, roadmap, and metrics across the office of the CTO's agentic AI portfolio: an enterprise knowledge assistant (Brain), an agent-driven engineering platform (Springboard), and enterprise AI/data modernization and app development.
Translate CTO strategy into crisp requirements, milestones, exit criteria, and KPIs — then hold the line on them.
Drive adoption of internal platforms: reduce onboarding friction, instrument usage, track NPS and active users, and run developer advocacy and objection handling.
Shape product direction for foundation-model based autonomy architectures and model lifecycle tooling (evaluation, fine-tuning, verification, deployment).
Run continuous discovery with engineers, operators, and executive stakeholders; turn findings into prioritized backlogs.
Prioritize ruthlessly across competing initiatives with small teams and aggressive timelines.
Analyze the agentic tooling, enterprise AI platform, and foundation model ecosystem; recommend build/buy/partner positions to leadership.
Author strategy documents, product briefs, and executive updates that drive decisions.
Manage transitions of maturing products from incubation to owning organizations.
Required qualifications:
8+ years of product management for deeply technical products; engineering or CS background.
Technical fluency: you read code, work APIs and CLIs from a terminal, and prototype with AI coding tools yourself.
Shipped developer tools, internal platforms, or AI/ML products — and drove their adoption.
Working fluency in LLM-based systems: agents, evaluation, context management, fine-tuning trade-offs.
Metrics-driven operating style: you define KPIs, instrument products, and report against thresholds and objectives.
Exceptional written communication — requirements, strategy docs, executive briefs.
Proven stakeholder management up to the executive level across engineering, product, and business functions.
Fluid intelligence that allows one to operate effectively in ambiguous conditions while finding opportunities to drive technical efforts and force multiply.
This role requires travel to a Shield AI location 1-3 times per quarter
Preferred qualifications:
Prior experience as a software engineer.
Experience in defense, aerospace, or other regulated environments (CUI/ITAR, restricted or disconnected deployments).
Experience with enterprise data platforms (e.g. Databricks) and ERP/business-system integration.
Experience with safety-critical or assurance-driven software processes (requirements traceability, V&V, certification artifacts).
Experience taking zero-to-one internal products through incubation, adoption, and handoff.
Experience with robotics or autonomy products.
$220,000 - $330,000 a year
#LI-KC3
#LF
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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