4M Analytics Logo

4M Analytics

Senior Forward Deployed Product Manager

Posted 3 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in US
Senior level
Remote
Hiring Remotely in US
Senior level
Own product strategy and development for the Utility Owners segment. Conduct customer discovery, identify market opportunities, define positioning and roadmaps, prototype working software with AI tools, and bridge validated concepts to engineering. Track adoption and revenue outcomes while partnering with executives, customers, growth, and engineering. The role requires operating in a 0-to-1 environment, learning a regulated technical domain, and traveling to customer sites and the Austin office as needed.
The summary above was generated by AI
Description

Who We Are

The 4M story is likely one you haven't heard before: we're on a mission to unlock access to the world below us — to do for the world below ground what Google Maps did for the world above. By mapping subsurface infrastructure and making reliable, real-time utility data accessible to the construction and infrastructure industry, we're transforming a traditional, high-stakes industry.

We're a growing startup with 120 employees, based in Tel Aviv, Israel and Austin, Texas.

Why Join Us



Joining the Utility Owners Business Unit means you are at the forefront of a mission-critical expansion. You will have a direct impact on how major utilities manage their subsurface risk, preventing catastrophic damage and saving lives. This role offers a unique career trajectory: as a foundational hire, you have the opportunity to grow into owning broader product areas, leading new segments, or shaping our entire AI-product strategy as the business scales.

The Opportunity



Over the past several years, 4M built significant business around Departments of Transportation (DOTs) — we now serve 10-12 DOT customers, and we did it deliberately: hire someone close to the customer, learn the workflow cold, and build the product the market actually needed. We're now applying that same intentional playbook to a new frontier: the Utility Owners segment.

This is a hybrid, next-gen role, combining classic Product Management with hands-on AI Building. You'll spend your time close to utility owner customers, absorb their workflows and pain points first-hand, and turn what you learn directly into working software — prototyping with modern AI tools, validating with real customers, then handing proven concepts to engineering to take to production fast. You're the connective tissue between the market and the product, fluent in the language of both the customer and the developer.

This is a deliberate, foundational hire. You'll report directly to the VP Product, work hand in hand with Engineering, and have the mandate to define what winning the Utility Owners segment looks like.

Key Responsibilities

  • Live in the market. Run continuous discovery with Utility Owner customers — calls, site visits, workflow shadowing — to build a first-hand understanding of their pain points, workflows, and business drivers.
  • Find the patterns, the opportunity, and turn it into a product. Think like a founder to map the market landscape, identify where the biggest pain points and budget reside, and synthesize customer feedback into a scalable product roadmap and clear productization strategy.
  • Define the strategy for winning the segment. Own the "where to play / how to win" for Utility Owners — target sub-segments, positioning, and the wedge that gets us in — in close partnership with the CEO, Chief Growth Officer, and engineering leadership.
  • Build beautiful products, fast. Use AI-native tools (Claude,Cursor etc.) to go from idea to a working, demonstrable Alpha in days or even hours — and if the customer validates it, Engineering makes it production-viable.
  • Bridge market and engineering. Be the connective layer between customers and the engineering pod. Translate validated concepts into something engineering can take to production, and stay involved through the handoff.
  • Own the outcome, commercially. Define what success looks like for the segment in business terms — adoption, revenue, land-and-expand — and track progress against it, partnering with Growth on how we take it to market.
  • Master a regulated, technical domain fast. No utility expertise required, but you'll rapidly get fluent in civil infrastructure, damage-prevention, and the regulatory landscape well enough to be credible with customers.
Requirements

Required Qualifications

  • Relevant educational background (BA/BS/BE/MBA). This could be in business, computer science, or even architecture/industrial engineering.
  • 7+ years of experience spanning reputed management consulting and/or product management at a B2B SaaS, data, or AI-native company. 
  • A genuine builder's mentality: you can independently design, prototype, and ship working software using modern AI tools. For example, you might have a portfolio showcasing a deployed web app built with AI. You understand what the AI is generating well enough to reason about it and correct it - this is required, not solely dependent on "vibe coding." Prior engineering experience or a technical degree is a strong plus, not a must.
  • Comfortable operating in a 0-to-1, forward-deployed capacity - shaping a brand-new product and market directly with executives and customers, without an existing playbook to lean on.
  • The "Strategic Builder" balance: We exceptionally value the intersection of strategic consulting instincts - the ability to decompose complex business problems - and the gritty, hands-on skills required to build the solution yourself.
  • Sharp, credible communicator who translates cleanly between customer needs and engineering, and who's comfortable working shoulder-to-shoulder with the CEO and Chief Growth Officer as well as in front of customers.
  • Flexibility to travel on-site to customers as needed, as well as to our Austin, TX offices.

AI-First Mindset

We're building an AI-first product culture, and we're looking for product builders who are genuinely excited about working this way. This role is for you if you use tools like Claude daily to prototype, iterate, and demo functioning software yourself.

Preferred Qualifications (not required!)

  • Candidates who pair top-tier consultancy experience along with hands-on product experience are an exceptionally strong fit.
  • Your own side project, startup, or open-source work built substantially with AI tools — don't just tell us, show us!
  • Prior exposure to utility infrastructure, civil/damage-prevention work, or the regulatory landscape (permitting, compliance, fines, risk on infrastructure projects).

Ready to build the future of subsurface infrastructure? We encourage you to apply even if you don't check every single box above. We are looking for potential, curiosity, and a bias for action above all else. We look forward to meeting you!

Similar Jobs

7 Minutes Ago
Easy Apply
Remote
United States of America
Easy Apply
165K-190K Annually
Senior level
165K-190K Annually
Senior level
Information Technology • Cybersecurity
Build and operate an agentic SOC investigation platform using LLMs, including telemetry tools, investigation workflows, evidence-backed outputs, evaluation systems, and analyst productivity features. Develop secure, reliable, observable backend services that handle attacker-influenced data across customer environments. Collaborate with SOC analysts, researchers, technical leads, and product managers to translate investigative expertise into production agent behavior.
Top Skills: AWSAzureClaude CodeLlmsMicrosoft 365Mitre Att&CkPostgresRedisRubyRuby On Rails
8 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
139K-190K Annually
Senior level
139K-190K Annually
Senior level
Cloud • Security • Software • Cybersecurity • Automation
Build and maintain behavioral threat detections across GitLab corporate, cloud, SaaS, and customer environments. Identify MITRE ATT&CK coverage gaps, develop and troubleshoot SIEM detections, orchestrate AI agents across the detection lifecycle, and improve detection quality through automation. Collaborate with incident response, red teams, threat intelligence, and engineering teams on threat hunting, purple teaming, root-cause analysis, and security observability.
Top Skills: Agentic AiAWSCloud SecurityDetections As CodeElasticGCPGitlab Ci/CdGitlab DuoKubernetesLlmsMitre Att&CkPaasSIEMSplunkTerraform
8 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
139K-235K Annually
Senior level
139K-235K Annually
Senior level
Cloud • Security • Software • Cybersecurity • Automation
Build and operate production AI agents, agentic workflows, MCP servers, and CX applications. Develop Python and TypeScript services, AWS infrastructure, integrations, testing, observability, security controls, and CI/CD pipelines. Partner with Customer Success and other CX teams to prototype solutions, translate workflows into technical plans, and deliver reusable platforms. Mentor engineers and non-engineers, document systems, establish governance, and support reliable handoff and shared ownership.
Top Skills: Aws EcsAws LambdaAws RdsClaude CodeDockerFastapiFlaskGainsightGitGitlab Ci/CdGitlab Duo Agent PlatformGongGraphQLKantataLarge Language Models (Llms)Model Context Protocol (Mcp)OktaPythonReactRestSalesforceSnowflakeTerraformThought IndustriesTypescriptVue

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account