4M Analytics is building the first Subsurface World Model: an AI platform that uses visual reasoning and large-scale data fusion to turn the undocumented world beneath our streets into one living, intelligent map. We make reliable utility data accessible to the construction industry, government agencies, and utility owners, and we are changing how infrastructure is understood and protected.
We are Series C, backed by Insight Partners, Viola, and F2, with 120 people across Tel Aviv and Austin, Texas. The problem is massive, the momentum is real, and we are moving fast.
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 Role
Think like a founder. This is our founding Forward Deployed Engineer in the US - you'll work at the intersection of engineering, product, and the customer, paired day to day with a Product counterpart. You take an ambiguous operational problem, go see how the work actually happens, build the software that solves it, deploy it in the field, and turn what you learn into a product.
Own the outcome, not the specification. You'll be the tip of the spear for a new product line: the platform Utility Owners use to run their locate-request and damage-prevention lifecycle end to end. Intake, classification, routing, field coordination, service levels, escalations, auditability, analytics, and AI-assisted workflows. Then you'll grow a US engineering team around it.
What You'll Do
Build fast, build for real. Ship production-quality software in response to real customer problems. Prototype, validate in the field, then harden.
Go where the work happens. Spend real time at customer and job sites. Work alongside field crews, operations teams, and physical devices.
Own complex integrations. Enterprise APIs, utility GIS, national field-technology platforms, and the ticketing networks the industry runs on. Expect undocumented behavior, legacy systems, and messy data.
Turn field learning into a product. Understand the difference between a one-off request and a reusable platform capability. Partner with core engineering so field wins become a scalable product.
Lead. Set your own priorities, manage your time, and make architecture calls without a finished spec. As the product scales, you’ll also mentor engineers as the US team grows.
Be an integral part of the R&D organization. Our engineering center is in Israel. You'll keep it close across time zones - clear updates, tight collaboration, and shared standards.
What You Bring
8+ years building software, with a track record of shipping across the stack.
Demonstrated success of personally building and deploying systems in ambiguous, customer-facing environments.
Leadership experience with clear leadership instincts: mentoring, setting technical direction, or running a small team.
Strong fundamentals in data and databases, cloud and distributed systems, security and authentication, and enterprise integration patterns.
The ability to learn an unfamiliar system quickly and make it work in the field.
Fluency with AI coding, agentic flows, and modern development practices to move faster.
Excellent written and verbal communication, and the discipline to collaborate well with a remote team.
Comfort with ambiguity. It should energize you, not block you.
Standout Attributes:
Experience with Geospatial and GIS fields.
Experience with IoT, mobile, or field hardware.
Experience with utility, energy, transportation, AEC, or industrial software.
Location and Travel
We prefer candidates open to hybrid, 3 days a week in our Austin, TX offices. We will also consider fully remote candidates based in the US who are open to regular travel to our Austin, TX offices.
Expect regular travel to customer and field sites, plus several trips a year to our R&D center in Israel.
Come work with us!
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!
4M Analytics is building the first Subsurface World Model: an AI platform that uses visual reasoning and large-scale data fusion to turn the undocumented world beneath our streets into one living, intelligent map. We make reliable utility data accessible to the construction industry, government agencies, and utility owners, and we are changing how infrastructure is understood and protected.
We are Series C, backed by Insight Partners, Viola, and F2, with 120 people across Tel Aviv and Austin, Texas. The problem is massive, the momentum is real, and we are moving fast.
The Opportunity
We're seeking a data-driven, action-oriented Customer Success Manager to join our public sector team. You'll drive customer adoption, uncover growth opportunities, and ensure our public sector customers get maximum value from our platform. This is a relationship-driven, on-the-ground role — you'll need to be as comfortable navigating a DOT's org chart as you are running a QBR — working closely with cross-functional teams to shape the future of utility data.
What You'll Do
Build and maintain strong relationships with a dedicated portfolio of public sector customers, owning the full account lifecycle from onboarding through renewal.
Navigate complex public sector org structures — central office, districts, and functional groups like planning, survey, design, and traffic operations — to build multi-threaded relationships and lead change management as agencies move to new ways of working.
Develop and execute data-driven strategies to drive engagement, adoption, and long-term retention, proactively mitigating risk and positioning accounts for growth.
Serve as the primary point of contact for escalations, ensuring swift resolution.
Identify expansion opportunities and partner with Sales, Marketing, and Product to implement roadmap features that align customer needs with where the platform is headed.
Use data, BI tools, and AI to track customer health and usage, and to work more efficiently across account planning and reporting so you can scale a high-touch approach across a growing portfolio.
Advocate for customers internally, shaping product improvements and best practices.
Conduct regular on-site customer visits, in-person district visits, on-site training, and stakeholder meetings.
What You Bring
3+ years’ experience as a Customer Success Manager, ideally at a Series A/B startup with lean resources and evolving product-market fit.
Experience with state and local governments. You understand how these agencies are structured and how to work across central offices, districts, and specialized units.
Proven track record of driving adoption and pitching growth or roadmap opportunities within key accounts.
AI-First Mindset: Fluent with AI tools, with a track record of using them to work more efficiently as a CSM.
Skills in BI tools and data analysis, with the ability to derive actionable insights.
Exceptional communication skills, able to engage effectively at all levels, including executive stakeholders.
Willingness to travel 50% of the time to conduct regular on-site customer visits across Georgia and the Southeastern US.
Resourcefulness and adaptability, with a strong sense of ownership and accountability.
Standout Attributes
Experience with Departments of Transportation (DOTs), deep knowledge of how they work, and/or connections internally
Prior experience in sales or sales development.
Consulting experience prior to entering the tech industry.
Diverse Perspective
We believe that innovation thrives when diverse perspectives come together to solve complex challenges. That's why we actively seek individuals who bring a wide range of life experiences, educational backgrounds, cultural perspectives, and work experiences. We invite you to share how your unique perspective will contribute to our team and help us drive success.
Logistics
Reporting: This role reports directly to our Director of Customer Success, offering significant visibility and strategic alignment within the organization.
Location: To most closely align with our customer locations, this role is open to candidates in Atlanta, GA or the surrounding areas.
Travel: Expect up to 50% customer-facing time to engage with our key enterprise accounts and partners on-site.
4M Analytics is building the first Subsurface World Model: an AI platform that uses visual reasoning and large-scale data fusion to turn the undocumented world beneath our streets into one living, intelligent map. We make reliable utility data accessible to the construction industry, government agencies, and utility owners, and we are changing how infrastructure is understood and protected.
We are Series C, backed by Insight Partners, Viola, and F2, with 120 people across Tel Aviv and Austin, Texas. The problem is massive, the momentum is real, and we are moving fast.
The Opportunity
We are looking for a Staff Algorithm Engineer to join our core Algorithm team — a high-autonomy group responsible for the algorithm and ML systems at the heart of 4M's mapping engine. This is a role for engineers who think in systems, bring cutting-edge computer vision and algorithmic thinking to ambitious real-world challenges, and own problems end-to-end with an entrepreneurial drive.
In the AI era, being a strong engineer means more than writing great code. It means operating as both an architect and a team lead — designing the solution with clarity, then guiding AI agents to execute it at a level and speed that wasn't possible before. We are building a culture where this is the norm, and we're looking for someone who is excited to work and grow in that direction.
You will work across computer vision and algorithm disciplines — researching solutions, designing experiments, and delivering production-grade implementations — while collaborating closely with data engineering and product teams.
What You'll Do
Research and implement novel computer vision and algorithmic solutions for challenging real-world problems — spanning perception, learning, optimization, and graph-based reasoning.
Own algorithm quality end-to-end: design experiments, evaluate results, and drive iterations until production reliability targets are met.
Work across disciplines — sharing models, methods, and insights with algorithm, data engineering, and product teams.
Monitor production model health proactively; identify degradation early and lead remediation efforts.
Integrate AI tools into your workflow and grow into the role of architect and team lead — designing the solution, then directing agents to build it.
Raise the bar on the team's technical culture through code reviews, knowledge-sharing, and rigorous algorithmic thinking.
What You Bring
Relevant B.Sc./M.Sc. with 10+ years of experience as a Computer Vision or Algorithm Engineer, OR relevant Ph.D. with 7+ years of relevant industry experience.
Broad and deep computer vision background, with strong algorithmic foundations — comfortable working across CV and adjacent algorithm domains.
Deep proficiency in deep learning frameworks (PyTorch preferred).
Proficiency in Python — writes clean, production-grade code.
Proven E2E ownership: has taken CV problems from research to production, not just model experimentation.
Strong problem-solving skills — comfortable with ambiguous, non-textbook problems.
Self-motivated and entrepreneurial: identifies gaps, drives solutions, and takes accountability for outcomes.
Mentor and upskill team members, including knowledge sharing and strategic technical development.
Good communication skills — can clearly explain complex algorithmic decisions to both technical and non-technical stakeholders.
AI-First Mindset
We are building an AI-first engineering culture, and we're looking for engineers who are genuinely excited about working this way. You don't need to arrive with a fully formed AI workflow — but you should have the curiosity and the drive to develop one.
In practice, this means:
You're already experimenting with AI tools in your work — code assistants, LLMs, or AI-augmented workflows — and you want to go further.
You're open to learning how to operate as both an architect and a team lead: holding a clear picture of the solution, then directing AI agents to get there.
You see AI not as a threat to engineering craft, but as a multiplier of it.
Specific tools and methods can be learned together. What matters is the mindset and the motivation to grow into this way of working.
Standout Attributes
Experience with GIS datasets or geospatial computer vision tasks.
Familiarity with GNN / graph-based algorithms.
Experience with AWS cloud services (SageMaker, S3, EC2).
Background in active learning or AI-assisted annotation pipelines.
Why Join 4M
If you want to apply cutting-edge computer vision and algorithmic thinking to ambitious, unsolved real-world problems — and see your work directly shape a product that is redefining an industry — this is that role.
Hard, original problems spanning computer vision and algorithm design that push the field forward. No textbook solutions, no incremental improvements on existing products.
CV and algorithms are the core technology driving 4M's mission — your work is the product.
Full end-to-end ownership: from research spike to production, you see the full impact of your work.
You'll grow into operating as both architect and team lead — a scope of influence that compounds over time in ways traditional engineering roles don't offer.
High-autonomy culture that trusts engineers to lead — real responsibility from day one, no micromanagement.
Pre-scale startup: your influence on the technical culture, the stack, and the direction is real and lasting.
4M Analytics is building the first Subsurface World Model: an AI platform that uses visual reasoning and large-scale data fusion to turn the undocumented world beneath our streets into one living, intelligent map. We make reliable utility data accessible to the construction industry, government agencies, and utility owners, and we are changing how infrastructure is understood and protected.
We are Series C, backed by Insight Partners, Viola, and F2, with 120 people across Tel Aviv and Austin, Texas. The problem is massive, the momentum is real, and we are moving fast.
The Opportunity
We are looking for a Senior Algorithm Engineer to join our core Algorithm team — a high-autonomy group responsible for the algorithm and ML systems at the heart of 4M's mapping engine. This is a role for engineers who think in systems, bring cutting-edge computer vision and algorithmic thinking to ambitious real-world challenges, and own problems end-to-end with an entrepreneurial drive.
In the AI era, being a strong engineer means more than writing great code. It means operating as both an architect and a team lead — designing the solution with clarity, then guiding AI agents to execute it at a level and speed that wasn't possible before. We are building a culture where this is the norm, and we're looking for someone who is excited to work and grow in that direction.
You will work across computer vision and algorithm disciplines — researching solutions, designing experiments, and delivering production-grade implementations — while collaborating closely with data engineering and product teams.
What You'll Do
Research and implement novel computer vision and algorithmic solutions for challenging real-world problems — spanning perception, learning, optimization, and graph-based reasoning.
Own algorithm quality end-to-end: design experiments, evaluate results, and drive iterations until production reliability targets are met.
Work across disciplines — sharing models, methods, and insights with algorithm, data engineering, and product teams.
Monitor production model health proactively; identify degradation early and lead remediation efforts.
Integrate AI tools into your workflow and grow into the role of architect and team lead — designing the solution, then directing agents to build it.
What You Bring
Relevant B.Sc./M.Sc. with 7+ years of industry experience as a Computer Vision or Algorithm Engineer, OR relevant Ph.D. with 4+ years of relevant industry experience.
Broad and deep computer vision background, with strong algorithmic foundations — comfortable working across CV and adjacent algorithm domains.
Deep proficiency in deep learning frameworks (PyTorch preferred).
Proficiency in Python — writes clean, production-grade code.
Proven E2E ownership: has taken CV problems from research to production, not just model experimentation.
Strong problem-solving skills — comfortable with ambiguous, non-textbook problems.
Self-motivated and entrepreneurial: identifies gaps, drives solutions, and takes accountability for outcomes.
Good communication skills — can clearly explain complex algorithmic decisions to both technical and non-technical stakeholders.
AI-First Mindset
We are building an AI-first engineering culture, and we're looking for engineers who are genuinely excited about working this way. You don't need to arrive with a fully formed AI workflow — but you should have the curiosity and the drive to develop one.
In practice, this means:
You're already experimenting with AI tools in your work — code assistants, LLMs, or AI-augmented workflows — and you want to go further.
You're open to learning how to operate as both an architect and a team lead: holding a clear picture of the solution, then directing AI agents to get there.
You see AI not as a threat to engineering craft, but as a multiplier of it.
Specific tools and methods can be learned together. What matters is the mindset and the motivation to grow into this way of working.
Standout Attributes
Experience with GIS datasets or geospatial computer vision tasks.
Familiarity with GNN / graph-based algorithms.
Experience with AWS cloud services (SageMaker, S3, EC2).
Background in active learning or AI-assisted annotation pipelines.
Why Join 4M
If you want to apply cutting-edge computer vision and algorithmic thinking to ambitious, unsolved real-world problems — and see your work directly shape a product that is redefining an industry — this is that role!
Hard, original problems spanning computer vision and algorithm design that push the field forward. No textbook solutions, no incremental improvements on existing products.
CV and algorithms are the core technology driving 4M's mission — your work is the product.
Full end-to-end ownership: from research spike to production, you see the full impact of your work.
High-autonomy culture that trusts engineers to lead — real responsibility from day one, no micromanagement.
Pre-scale startup: your influence on the technical culture, the stack, and the direction is real and lasting.
4M Analytics is building the first Subsurface World Model: an AI platform that uses visual reasoning and large-scale data fusion to turn the undocumented world beneath our streets into one living, intelligent map. We make reliable utility data accessible to the construction industry, government agencies, and utility owners, and we are changing how infrastructure is understood and protected.
We are Series C, backed by Insight Partners, Viola, and F2, with 120 people across Tel Aviv and Austin, Texas. The problem is massive, the momentum is real, and we are moving fast.
The Opportunity
We're seeking an experienced Software Engineer with a strong background to become an integral member of our Data-Core team, tasked with the mission of processing, structuring, and analyzing hundreds of millions of data sources.
Your role will be pivotal in creating a unified, up-to-date, and accurate utilities map, services, and applications for accelerating our mapping operations. Your contributions will directly impact our core product's success.
Our R&D division champions an AI-assisted development model, leveraging modern code-generation tools to streamline implementation. In this role, you will be empowered to focus primarily on high-level architecture, system design, and complex problem-solving.
What You'll Do
Collaborate with cross-functional teams to design, build, and maintain data processing pipelines while contributing to our common codebase.
Contribute to designing and implementing data architecture, ensuring effective data storage and retrieval.
Develop and optimize complex Python-based applications and services to allow more efficient data processing and orchestration, enhancing the quality and accuracy of our datasets.
Drive the scalability and performance optimization of data systems, addressing infrastructure challenges as data volume and complexity grow.
Create and manage data infrastructure components, including ETL workflows, databases, supporting seamless data flow and accessibility.
Design and implement CI/CD processes for data processing, model training, releasing, testing and monitoring, ensuring robustness and consistency.
Implement geospatial data processing techniques and contribute to the creation of our unified utilities map, enhancing the product's geospatial features.
Own your components end-to-end, from design through production, monitoring and on-call, and drive improvements without waiting to be asked.
What You Bring
Bachelor's degree in Computer Science, Engineering, or a related field.
5+ years of experience in software engineering with a focus on data systems.
Proficiency in Python. Experience with big data technologies like Hadoop, Spark, or Kafka.
A track record of ownership: you’ve taken a system or project from an ambiguous problem to production and stayed accountable for it after launch.
Experience leading technical initiatives, such as driving design decisions, aligning stakeholders across teams, or mentoring other engineers.
AI-First Mindset
We are building an AI-first engineering culture, and we're looking for engineers who are genuinely excited about working this way.
In practice, this means:
You're well versed in using AI tools in your work — code assistants, LLMs, or AI-augmented workflows.
You enjoy handing off code-writing to tools, so you can focus on complex system design.
You see AI not as a threat to engineering craft, but as a multiplier of it.
Specific tools and methods can be learned together. What matters is the mindset and the motivation to grow into this way of working.
Standout Attributes
Founding mindset: You have built products from scratch, either side projects, open-source tools, or zero-to-one engineering systems, and you know how to balance speed with technical quality.
Geospatial experience: you’ve worked with spatial data and tooling (e.g., PostGIS, GDAL, Shapely, GeoPandas) and understand projections, topology and spatial indexing.
4M Analytics is building the first Subsurface World Model: an AI platform that uses visual reasoning and large-scale data fusion to turn the undocumented world beneath our streets into one living, intelligent map. We make reliable utility data accessible to the construction industry, government agencies, and utility owners, and we are changing how infrastructure is understood and protected.
We are Series C, backed by Insight Partners, Viola, and F2, with 120 people across Tel Aviv and Austin, Texas. The problem is massive, the momentum is real, and we are moving fast.
The Opportunity
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.
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.
What You'll Do
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.
What You Bring
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.
Standout Attributes
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!
","descriptionPlain":"WHO WE ARE\n\n4M Analytics is building the first Subsurface World Model: an AI platform that uses visual reasoning and large-scale data fusion to turn the undocumented world beneath our streets into one living, intelligent map. We make reliable utility data accessible to the construction industry, government agencies, and utility owners, and we are changing how infrastructure is understood and protected.\n\nWe are Series C, backed by Insight Partners, Viola, and F2, with 120 people across Tel Aviv and Austin, Texas. The problem is massive, the momentum is real, and we are moving fast.\n\n\n\nThe Opportunity\n\nJoining 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.\n\nOver 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.\n\n 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.\n\nThis 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.\n\n \n\nWhat You'll Do\n\n - 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.\n\n - 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.\n\n - 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.\n\n - 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.\n\n - 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.\n\n - 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.\n\n - 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.\n\n\n\nWhat You Bring\n\n - Relevant educational background (BA/BS/BE/MBA). This could be in business, computer science, or even architecture/industrial engineering.\n\n - 7+ years of experience spanning reputed management consulting and/or product management at a B2B SaaS, data, or AI-native company.\n\n - 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.\n\n - 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.\n\n - 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.\n\n - 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.\n\n - Flexibility to travel on-site to customers as needed, as well as to our Austin, TX offices.\n\n\nAI-First Mindset\n \nWe'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.\n \nStandout Attributes\n\n - Candidates who pair top-tier consultancy experience along with hands-on product experience are an exceptionally strong fit.\n\n - Your own side project, startup, or open-source work built substantially with AI tools — don't just tell us, show us!\n\n - Prior exposure to utility infrastructure, civil/damage-prevention work, or the regulatory landscape (permitting, compliance, fines, risk on infrastructure projects).\n\n\n\nReady 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!\n\n\n\n","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}}],"apiVersion":"1"}