Join Hover
Hover helps people design, improve, and protect the properties they love. With proprietary AI built on over a decade of real property data, Hover answers age-old questions like “What will it look like?” and “What will it cost?” Homeowners, contractors, and insurance professionals rely on Hover to get fully measured, accurate, and interactive 3D models of any property — all from a smartphone scan in minutes.
At Hover, we’re driven by curiosity, purpose, and a shared commitment to serving our customers, communities, and each other. We believe the best ideas come from diverse perspectives and are proud to cultivate an inclusive, high-performance culture that inspires growth, accountability, and excellence. Backed by leading investors like Google Ventures and Menlo Ventures, and trusted by industry leaders including Travelers, State Farm, and Nationwide — we’re redefining how people understand and interact with their spaces.
Why Hover wants you
As a GTM Engineer within our Product-Led Growth org, you’ll operate at the intersection of technical execution and go-to-market strategy—building systems, experiments, and automations that directly shape how customers discover, adopt, and pay for Hover.
Unlike adjacent roles that focus on centralized platforms or tooling (e.g., Analytics Engineering or GTM Systems), you are embedded with customer-facing teams and spend most of your time rapidly turning ideas into working proofs of concept, lightweight tools, and automations that drive real business outcomes. Supporting teams provide the infrastructure and long-term scale; you focus on speed, learning, and impact.
You’ll join at a moment when product usage data, experimentation, and AI can meaningfully reshape how Hover grows—giving you rare influence over the tools, workflows, and patterns that define our product-led motion going forward.
Example projects include:
- Applying LLM-based synthesis to better prepare Customer Experience teams for live customer conversations
- Building Slack-based automations that surface real-time insights and enable fast, tactical action (from program launches to routing and assignments)
- Creating “good enough” user-facing prototypes to test monetization, activation, or conversion hypotheses before investing in fully scaled solutions
- Shadowing GTM teammates to identify opportunities to embed AI more deeply into day-to-day workflows
- Partnering with Lifecycle to turn product usage data into adaptive targeting logic that dynamically personalizes messaging, timing, and channel selection
- …and similar projects driven by real GTM needs
We’re early in our PLG journey, which means you’ll have meaningful ownership in shaping how our product-led motion works end-to-end. If you enjoy building from scratch, experimenting quickly, and partnering closely with GTM teams to turn ideas into measurable impact, this role is for you.
You will contribute by
- Drive AI adoption across GTM teams by embedding modern tools directly into workflows; serve as a hands-on expert who helps teammates rethink how work gets done—not just which tools to use
- Build rapid proofs of concept and lightweight prototypes—many of them user-facing—to test growth, monetization, activation, and efficiency ideas across teams such as Monetization, Lifecycle, Customer Experience, and Analytics
- Design and execute end-to-end growth experiments, translating business questions into technical implementations that generate fast, actionable learnings across the funnel
- Automate high-friction, repetitive workflows for yourself and GTM partners, continually identifying opportunities to reduce manual effort and increase leverage through scripts, bots, and integrations
- Operate scrappily before designing for scale: ship quickly, validate impact, and then collaborate with platform and systems teams to define requirements for durable, long-term solutions
- Embed directly with customer-facing teams—shadowing their day-to-day work, identifying bottle
What Success Looks Like (First 6 Months)
- You’ve shipped a few in-market experiments that meaningfully improve activation, monetization, or GTM efficiency
- At least one scrappy prototype or experiment you led has graduated into a scaled solution in partnership with platform or systems teams
- At least one GTM team regularly rely on workflows, automations, or tools you’ve built to do their jobs faster and better
- Product usage data is actively informing lifecycle targeting, prioritization, or in-product experiences as a result of your work
- You’re seen as a trusted, hands-on partner by Lifecycle, Monetization, Customer Experience, and Sales teams
Your background includes
- 5+ years operating at the intersection of GTM, growth, engineering, analytics, or systems at a fast-moving company, with experience owning ambiguous, cross-functional problems end-to-end
- (PLG experience strongly preferred)
- Strong SQL skills, used regularly to explore data, generate insights, and power experiments or automations
- Proficiency in scripting or lightweight application development (e.g., Python, JavaScript, or similar) to build proofs of concept, connect systems via APIs, and automate internal or user-facing workflows
- A strong bias toward action: you prototype quickly, test in-market, learn from results, and iterate
- High comfort operating in ambiguity, with the ability to move from vague problem → concrete solution → measurable impact
- Deep curiosity and enthusiasm for AI, with a track record of applying new tools to real GTM workflows—not just experimentation for its own sake
Benefits
- Compensation - Competitive salary and meaningful equity in a fast-growing company
- Healthcare - Comprehensive medical, dental, and vision coverage for you and dependents
- Paid Time Off - Unlimited and flexible vacation policy
- Paid Family Leave - We support work/life balance and offer generous paid parental and new child bonding leave
- Mandatory Self-Care Days - A day set aside each month to allow employees to recharge
- Remote Wellbeing Resources - We provide recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance
- Learning - We encourage continued education and will help cover the cost of management training, conferences, workshops, or certifications
Hybrid roles at Hover
Hover has Hubs in San Francisco and New York City, where we expect that all employees living within a 50-mile radius of our offices will come into their local Hover office at least three times a week to build rapport and foster organic connection. At this time, Hover is not considering fully remote roles.
The US base salary range for this full-time position is $144,000 - $177,000 annually. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all applicable US locations. 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 can share more about the specific salary range for your preferred location during the hiring process.
#LI-RH1 #LI-Hybrid
Apply for the role
Senior GTM Engineer – San Francisco/New York – Business Operations & Growth
Please submit resume in PDF Format