New offer - be the first one to apply!
July 10, 2026
Growth Associate
Mid • On-site
80,004 - 120,000 USD/yr
New York, NY
About Modo Energy
The energy transition is the biggest infrastructure buildout in human history. Modo Energy is the data platform at the centre of it.
We build the benchmarking, forecasting, and valuation tools that the world's most serious energy investors, developers, and operators depend on to make decisions. If a battery gets financed, built, or traded anywhere in the world, there's a good chance Modo data was in the room.
Founded in 2019, we're 80+ people across London, New York, Sydney, and Madrid; $30M Series B, AI-native, and moving fast.
This is a rare chance to join a category-defining company at the moment it's scaling globally.
The Role
We're hiring a Growth Associate to help more people discover and sign up to Modo Energy.
This is a generalist role. You'll work directly with the Head of Product Marketing and do whatever it takes to get the right people through the door - whether that's running a campaign for a new market launch, making a short video that shows what Ko (our AI Analyst) can do, writing an email that re-engages free users, or figuring out why people aren't converting and fixing it.
A big part of this role is product marketing. You'll need to get under the skin of what we build - market indices, revenue forecasts, Ko our AI analyst - and help set the standard for how we talk about it.
We care about taste. If something looks or sounds wrong, say so.
What You'll Do
- Create content that helps people understand Modo Energy's products - short videos, emails, social posts, demos of Ko in action
- Run campaigns when new markets launch to get the right users to sign up
- Own the metrics that matter for top-of-funnel growth
- Know what's converting, what's driving discovery, and where the biggest opportunities are
- Report weekly, iterate fast, and make sure every decision we make is grounded in what's actually working
- Drive adoption of new features through creative, targeted outreach
- Help tell Modo Energy's story as the company scales into new markets
What We're Looking For
The Essentials
- You've shipped something independently - a project, a campaign, a newsletter, anything you took from idea to live
- Strong writing - clear, direct, and aimed at the right person
- Taste and judgement - you know good from bad and you'll say so
- You use AI as a core part of how you work - not just chatbots, but building workflows, automating tasks, and using agents to get things done faster
- Curious and resourceful - you figure things out without being told how
Nice To Have
- Comfortable with design or video tools - Figma, Premiere Pro, After Effects, or similar
- An engineering or analytical mindset - you think in systems and would rather automate something than do it manually twice
- Some experience with growth or marketing campaigns
- An interest in energy, climate, or the transition to clean power
- Degree in an analytical field - economics, engineering, maths, physics, or similar
Compensation & Equal Opportunity
- Base salary range: $80,000–$120,000 per year, depending on experience
- 25 days annual leave, medical, dental and vision coverage, and 401(k) with optional employer matching
- Modo Energy is an equal opportunity employer
What You Can Expect From Us
At Modo Energy, we believe that exceptional work deserves exceptional reward. We're a high-performance team; ambitious, collaborative, and genuinely motivated by the scale of what we're trying to build.
You'll have real ownership from day one, work alongside some of the brightest people in the industry, and be part of a company that's defining a new category in the global energy market. We're hybrid: everyone works Tuesday to Thursday in office, with Monday and Friday flexible.
We offer top-of-market compensation, equity for every employee, and the space to take your career wherever you want it to go.
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The role combines hands-on technical direction with ownership of infrastructure, quality, and engineering execution. 🗂️ Requirements: Proven experience building and scaling high-performing engineering teams, Hands-on expertise in software architecture and system design, Experience shipping AI or LLM-based products to production, Deep knowledge of LLM orchestration and agent architectures, Experience with AI-assisted development tools in engineering workflows, Ownership of infrastructure efficiency, reliability, and product quality metrics, Ability to operate at startup pace with rapid release cycles, Onsite presence in Mountain View, CA 📃 Skills: LLMs, GPT-4, Claude, AgenticAI, Architecture, Orchestration, AIDevelopment, Cursor, OpenSource, Infrastructure, DistributedSystems 🏢 Description: CommerceIQ is building the AI platform that runs commerce for the world's largest brands. We are not selling AI demos. We are shipping AI agents for content, media, and sales into the workflows of the Fortune 100 every week. 2,200+ Customers 10 of Top 12 CPG Companies 900+ Retailers Connected $200M+ Raised Customers include Coca-Cola, Nestlé, Colgate-Palmolive, Mondelez, Samsung, and Kellogg's. Backed by SoftBank, Insight Partners, and Madrona. Headquartered in Mountain View with teams across the US, India, Canada, and the UK. Pre-IPO.The Problem: We have thousands of enterprise users, proven product-market fit across digital shelf analytics, retail media, and sales operations, and the Fortune 100 running on our platform. That part works. Now we are building something new: autonomous AI agents that are already in customer hands and scaling fast. This is a 0-to-1 build inside a company that has the distribution, the data, and the customers to make it real. The AI Labs team operates as a startup within the company. It needs its own engineering leader. Someone who can recruit a world-class team in Mountain View, set the technical direction for agentic AI in commerce, and ship at a pace that matches the opportunity. We have engineering teams across the US, India, Canada, and the UK. Mountain View is the center of gravity for AI leadership. This role reports directly to the Founders. We ship with Claude, GPT-4, and open-source models in production. Our engineers already write the majority of code with AI. Some things are great. Some things need to be rebuilt. The next leader will know the difference. What You'll Do: Build the Future of Commerce AI Architect and evolve the platform for the agentic era. The technical foundation needs to support agents that operate autonomously across content, media, and sales. You will decide what gets built, how it gets built, and what gets thrown away. Push the frontier on AI-assisted development. We already lead most companies in AI code contribution. Claude Code, Cursor, and the next generation of agentic dev workflows should be standard across the org. As a startup, we should be ahead of everyone else on this. Ship AI agents into production with speed and reliability. Our agents are already in Fortune 100 workflows and scaling fast. Engineering needs to deliver new capabilities on a weekly cadence. Be the technical face of the company externally. Our AI Brand positioning depends on engineering leaders who can speak credibly about what we are building. Conference talks, blog posts, recruiting events. Build the Team Recruit and retain world-class engineering talent, starting with Mountain View. You will be measured on the quality of people you bring in and the quality of people you develop. Build a strong engineering leadership bench. We need senior leaders who can independently own large surface areas and represent engineering with authority across the company. Create an environment where the best engineers want to stay, grow, and recruit their friends. Every hire should raise the average. Own Engineering Execution Own product quality, infrastructure efficiency, and engineering velocity. You set the metrics, you hit them. Drive continuous improvement in margins and cost structure. We have already made dramatic improvements in infra costs and product reliability. You will own the next chapter. What You'll Bring: This is not a caretaker role. We need a builder. Here is what matters: You have built and scaled engineering teams. You have taken a team from good to great. You know how to hire senior talent, develop middle managers, and create a culture where A-players attract more A-players. Ideally you have done this at a pre-IPO company scaling through a similar inflection point. You are technical and hands-on. You can go deep on architecture discussions, review technical designs, and earn the respect of senior engineers. You do not need to write code every day, but you need to be able to tell when code is good and when it is not. You are AI-native. You personally use AI development tools. You have opinions about LLM orchestration, agent architectures, and how AI changes the software development lifecycle. You are excited about a world where AI writes most of the code and engineers focus on architecture, judgment, and customer impact. You operate with urgency. Startup pace. Weekly shipping cadence. You do not tolerate multi-month planning cycles for things that should take days. You bias for action and course-correct fast. You are a talent magnet. The best engineers you have worked with want to work with you again. You have a network of strong technical leaders you can bring in. You know the difference between hiring for pedigree and hiring for signal. You want to be in the room. This is an onsite role in Mountain View. You will work closely with the Founders, product, and customer success. Our best decisions happen face-to-face. Compensation and Benefits: Base: Competitive with top-tier Silicon Valley companies. Commensurate with experience. Equity: Significant pre-IPO stock options. This is a leadership seat and the equity reflects that. We are at a stage where senior hires still get meaningful ownership. Benefits: Full medical, dental, vision. 401(k). Unlimited PTO. Location: Mountain View, CA. Onsite. 15 minutes from Stanford campus. Why Join Now: The window is now. The company has product-market fit, revenue, and customers. The AI Labs team is being built right now. In 12 months this team will be set. The founding members will define the culture, the architecture, and the trajectory. This is that moment. Real AI, not AI theater. Most companies are bolting AI onto legacy products and calling it innovation. We are rebuilding the entire platform around autonomous agents. Our agents are already in production, already in customer workflows, already making decisions. If you want to lead a team doing real AI, this is it. Fortune 100 scale. Your decisions will directly affect how 2,200+ brands run their ecommerce. The Fortune 100 uses our platform to manage billions of dollars in commerce. This is not a sandbox. Equity upside. Pre-IPO. $200M+ raised from tier-one investors. The economics of joining at this stage, in this role, are compelling. Check out our LinkedIn page to learn more about what it’s like to work at CommerceIQ!We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law.
Technology

The Nuclear Company
AI Engineer 1 - Platform Integration & AI/Data
Junior
On-site
Washington, DC
80,004 - 150,000 USD/yr
🏢 Summary: Entry-level AI Engineer role focused on building and maintaining backend services, CI/CD pipelines, and data/application integrations for a large-scale nuclear software platform (NOS). The position involves hands-on development, DevOps tasks, and contributing to AI-enabled data tooling while working closely with senior engineers. Candidates will gain experience with Palantir Foundry, cloud environments, and production-grade AI and integration systems. 🗂️ Requirements: Computer Science degree or equivalent, 0-2 years professional experience (internships, co-ops, projects), Strong fundamentals in at least one backend language (Python, TypeScript, Go, or Java), Hands-on exposure to CI/CD, version control, REST APIs, or system integrations, Experience building AI-based solutions beyond basic chat assistants, Ability to write production code and tests, Willingness to work in regulated industry context 📃 Skills: Python, TypeScript, Go, Java, CI/CD, REST, Git, DevOps, Palantir, Foundry, AWS, Databricks, Snowflake, LLM, AI, MCP 🏢 Description: About the role The Nuclear Company is hiring an AI Engineer 1 to help build and run the backend, data, and integration layers that NOS depends on. You will report to the Director of Platform Integrations and work in the Platform Integration & AI/Data squad. NOS is the software platform behind one of the largest nuclear buildouts in the United States, and the platform layer is what keeps it fast, reliable, and connected to the systems around it. This is a hands-on, entry-level role. You will work alongside the Platform Engineer and other senior engineers on CI/CD, backend services, and the data and application integrations that tie NOS to internal systems and external sources, taking well-scoped features end to end under senior code review. You will ramp on Palantir Foundry and the team's AI and data tooling, write production code, open pull requests, and grow into a specialization over time. Responsibilities First 90 Days: - Help build and maintain the application and data integrations that connect NOS to internal systems, partner APIs, and external data sources, working from well-scoped tickets under senior review. - Take ownership of scoped CI/CD and release tasks that keep NOS builds repeatable, tested, and traceable. - Do basic backend and DevOps work: build and fix backend services, write tests, and handle routine platform monitoring and maintenance. - Ramp on Palantir Foundry, the data ontology, and the MCP interfaces that let AI agents work against NOS data and start contributing to them. - Partner with the Platform Engineer, data scientists, AI/ML engineers, and product engineers, and grow from paired work toward independent delivery. Required Experience - Computer science degree or equivalent, with 0-2 years of professional experience (internships, co-ops, and project work count). - Strong fundamentals in at least one backend language (Python and/or TypeScript preferred; Go or Java also welcome). - Some hands-on exposure to basic DevOps and backend work: CI/CD, version control, REST APIs, or wiring systems together, from an internship, a job, or a personal project. - Has built something with AI beyond using a chat assistant: multi-step prompts, custom tools, AI in the codebase, or a small agentic project. - Good written and verbal communication, and willingness to learn the nuclear and regulated-industry context. Preferred Experience - Exposure to a major cloud (AWS preferred), including coursework or personal projects. - Coursework or project work in CI/CD, infrastructure as code, or configuration management. - Coursework or project work in LLMs, agentic systems, or data modeling. - Familiarity with Palantir Foundry, Databricks, or Snowflake. - Internship or project work in a regulated or mega-project industry (nuclear, aerospace, defense, energy, medical). Benefits - Competitive compensation packages - 401k with company match - Medical, dental, vision plans - Generous vacation policy, plus holidays Estimated Starting Salary Range The estimated starting salary range for this role is $80,000 - $150,000 annually less applicable withholdings and deductions, paid on a bi-weekly basis. The actual salary offered may vary based on relevant factors as determined in the Company's discretion, which may include experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications held, and other criteria deemed pertinent to the particular role. EEO Statement The Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination. Export Control Certain positions at The Nuclear Company may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in The Nuclear Company limiting its consideration of certain applicants.
Technology
MOTIFE
Software Engineer (Data)
Senior
Hybrid
Krakow, Poland
20,000 - 23,000 PLN/mo
🏢 Summary: The offer is for a Software Engineer (Data) role focused on building scalable data infrastructure and production-ready ML systems within an AI-driven environment. The position combines backend engineering, data engineering, and MLOps to design high-throughput pipelines and support AI solutions from experimentation to production. The role involves close collaboration with Data Science teams to shape architecture and engineering standards for next-generation data platforms. 🗂️ Requirements: 4+ years of software engineering experience, Strong proficiency in Python, Experience building scalable production systems, Experience with data-intensive applications and SQL databases, Knowledge of data modeling and query optimization, Experience with Terraform, Kubernetes, Docker or similar tools, Understanding of CI/CD pipelines and Infrastructure as Code, Experience implementing automated testing and clean architecture principles, Ability to productionize ML solutions with Data Science teams 📃 Skills: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker, Airflow, SQL, CI/CD, AWS, Snowflake, DBT, MLOps 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Software Engineer (Data) to join our client’s growing AI and Data organization and help build the scalable foundations behind next-generation data and ML systems. In this role, you won’t just be working with data infrastructure; you’ll be shaping the software architecture, engineering standards, and production-ready platforms that power the company’s AI ecosystem. This is more than a traditional backend or data engineering position. You’ll work at the intersection of software engineering, data, and AI, partnering closely with Data Science and AI teams to bridge the gap between experimentation and production. From designing resilient systems to building scalable MLOps pipelines, your work will directly influence how AI solutions are developed, deployed, and scaled across the organization. Key takeaways: Stack: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker Salary : 20 000 - 23 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Interview with Hiring Manager (45 min) Technical interview, live coding (1h) Cross-functional interview (1h) Responsibilities: Design, develop, and maintain scalable high-throughput data pipelines across complex data ecosystems. Build and optimize data models, schemas, and database structures to ensure long-term scalability and performance. Implement engineering best practices, including automated testing, CI/CD pipelines, and Infrastructure as Code (Terraform). Partner closely with AI and Data Science teams to productionize machine learning solutions and develop scalable MLOps pipelines. Engineer and maintain feature stores and data infrastructure supporting AI-driven initiatives. Monitor, maintain, and improve the reliability and efficiency of containerized environments using Kubernetes, Docker, and Airflow. Ensure platform stability, observability, and operational excellence through proactive system monitoring and health checks. Collaborate cross-functionally with engineering and business stakeholders to translate complex technical concepts into actionable insights. Contribute to the architectural direction and scalability of the organization’s AI and data platforms. Drive the adoption of robust software engineering standards across data and infrastructure projects. Requirements: 4+ years of experience in software engineering, with strong hands-on experience in backend development and building scalable production systems. Strong proficiency in Python and solid software engineering fundamentals, including clean architecture, testing, and maintainable code practices. Experience working with data-intensive applications, databases, and SQL, including data modeling and query optimization. Exposure to modern data engineering, cloud, or infrastructure environments, with familiarity in tools such as Terraform, Kubernetes, Docker, or similar technologies. Understanding of CI/CD pipelines, Infrastructure as Code, and general engineering best practices. Interest in AI/ML ecosystems and willingness to work closely with Data Science and AI teams on productionizing ML solutions. Familiarity with cloud platforms and modern data stack technologies such as AWS, Snowflake, Spark, or DBT is considered a strong plus. Ownership mindset and comfort working in evolving, fast-moving environments where systems and processes are still being built. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.
Technology

Brightcore Energy
Technical Product Manager
Senior
On-site
Brooklyn, NY
140,004 - 159,996 USD/yr
🏢 Summary: Technical leadership role focused on owning and evolving a large-scale geothermal HVAC optimization platform, combining deep thermodynamic expertise with product management and IoT data intelligence. The position drives automated fault detection, performance optimization, and roadmap strategy for a SaaS platform managing geothermal and building energy systems. It blends engineering authority, agile product execution, and data quality ownership across cloud and edge deployments. 🗂️ Requirements: Degree in Mechanical Engineering, Energy Engineering, Controls Systems, or related discipline, Minimum 5 years of experience in product management, systems engineering, application engineering, or similar technical role, Strong expertise in HVAC, heat pump, geothermal, hydronic, or building control systems, Ability to apply thermodynamic equations and performance metrics (COP, EER, heat transfer), Experience with IoT systems, sensor data, or BAS/BMS platforms, Strong knowledge of timeseries data structures and anomaly detection, Experience writing developer-ready feature specifications, Experience running agile delivery for small engineering teams 📃 Skills: HVAC, Geothermal, Thermodynamics, IoT, BAS, BMS, Timeseries, AnomalyDetection, SaaS, Agile, Hydronics, HeatPumps, DataPipelines, Cloud, EdgeComputing 🏢 Description: Summary/Primary Role: This role is a technical leader who thinks like a founder and will become the company's in-house expert in large-scale geothermal system operations and optimization. This role combines deep energy engineering expertise with product ownership, driving the development of Brightcore EDGE, a software platform that intelligently manages geothermal assets at scale. The ideal candidate brings a strong understanding of HVAC and building energy systems, including performance analysis, fault diagnostics, and facility operations, with geothermal experience a significant plus. They will own both the execution of the current product roadmap and the strategic direction of future capabilities, working at the intersection of engineering, IoT, and applied machine intelligence. Principal Duties & Responsibilities: Geothermal HVAC System Expertise & Platform Intelligence - Become the internal authority on how geothermal systems behave, fail, degrade, and excel and translate that knowledge directly into product requirements. - Define automated detection logic for system anomalies like borefield degradation, heat pump faults, performance drift, and thermal imbalances while being grounded in thermodynamic first principles. - Design metrics, KPIs, and alert frameworks that allow EDGE to identify issues without a human in the loop. - Actively use the platform as an expert operator: find what is missing, what should be amplified, and what the next level of intelligence should look like. - Build a continuous feedback loop from field data and customer conversations into product insight and specification. Roadmap Evolution & Product Strategy - Partner with leadership to shape the future EDGE roadmap. - Identify where the platform must go next: new system types, new customer segments, new performance guarantee models. - Synthesize inputs from the field, engineering, and market signals into a coherent product direction. - Develop deep fluency with customer needs across facilities managers, building owners, mechanical engineers, and controls contractors. Feature Specification & Engineering Execution - Author precise, developer-ready feature specifications: user stories, acceptance criteria, edge cases, data contracts, thermodynamic constraints. - Translate complex domain knowledge such as control logic, sensor data quality, timeseries anomalies, and thermal system behavior into unambiguous engineering requirements. - Own the sprint cycle: standups, backlog grooming, prioritization, and delivery accountability for a small engineering team. - Unblock engineers quickly and protect focus by making requirement decisions proactively. IoT & Data Quality - Own data quality standards across cloud SaaS and on-prem edge deployments. - Identify and resolve timeseries data challenges in building systems: sensor dropout, calibration drift, latency, resolution mismatches, outlier propagation. - Define data pipeline requirements, validation logic, and monitoring dashboards in collaboration with engineering. Qualifications: - Degree in Mechanical Engineering, Energy Engineering, Controls Systems, or closely related discipline. - Demonstrated thermodynamic fluency and systems depth. - 5+ years of relevant experience in product management, systems engineering, application engineering, or similar technical role. - Experience with HVAC, heat pump systems, geothermal systems, hydronic systems, or building controls. - Ability to reason through thermodynamic equations and performance metrics (COP, EER, approach temperatures, heat transfer rates). - Experience with IoT systems, sensor data, or building automation and control systems (BAS/BMS). - Strong working knowledge of timeseries data, failure modes, and anomaly detection approaches. - Demonstrated ability to write developer-ready feature specifications. - Experience running agile delivery for small engineering teams. Expected Hours of Work & Compensation: Minimum 40 hours per week. Base annual salary range of $140,000–$160,000 with eligibility for an annual performance-based bonus. Comprehensive benefits package offered. Travel Requirements: Office presence required at least three days per week unless otherwise approved. Work Environment: Office setting. Drug & Alcohol-Free Workplace: Pre-employment background check including employment verification, criminal history check, and drug screen required. Benefits: - Medical, dental, and vision insurance - Flexible Spending Account (FSA) and Health Savings Account (HSA) options - 401k (traditional and Roth) with employer match up to 4% - PTO - Financial wellness benefits - Benefit Concierge Program - Employee Assistance Program (EAP) - Disability, Life, and AD&D benefits - Access to marketplace for discounted goods and services
Technology

Giga Energy
Land Acquisition Manager
Senior
On-site
San Francisco, CA
🏢 Summary: Own and drive land acquisition, surface rights negotiations, and lease analysis to secure critical sites for AI infrastructure development. Lead financial modeling, underwriting, and contract review while coordinating cross-functional teams and third parties to move projects from site selection through deal execution. This high-visibility, onsite role directly shapes real estate strategy and development pipeline execution. 🗂️ Requirements: Ability to negotiate and draft land agreements, surface use agreements, ROW/easements, Strong knowledge of lease structures, title, surveys, permits, access rights, development economics, contract interpretation, Experience reviewing and analyzing complex contractual language and risk provisions, Ability to synthesize large datasets into actionable recommendations for senior stakeholders, Experience coordinating third parties and managing multiple concurrent transactions, Proficiency in Microsoft Office, Proficiency in Google Workspace 📃 Skills: Negotiation, RealEstate, Leases, Contracts, Underwriting, FinancialModeling, Zoning, Surveys, Title, Microsoft, Google 🏢 Description: What you'll do As Land Acquisition Manager, you will own land acquisition, surface rights negotiation, and lease analysis that drives critical real estate decisions in AI infrastructure. You will work directly with landowners, surface holders, and third-party brokers to secure sites that power the development pipeline, while partnering with legal, finance, and operations to structure deals and keep projects moving. This is a high-visibility role where your work directly shapes where and how projects are built. Where you'll work This is an in-office role ideally based in the Houston office, with full-time onsite expectations outside of bi-weekly work-from-home Fridays. Exceptions may be considered for exceptional candidates. Responsibilities - Track and manage an active pipeline of real estate and land opportunities, maintaining deal status, key milestones, and financial summaries across multiple concurrent transactions - Identify, contact, and negotiate directly with surface owners and landowners to secure access agreements, ROW/easements, ground leases, and purchase contracts - Review, interpret, and summarize lease and contract language, identifying provisions that impact site access, development rights, operational constraints, and financial obligations - Conduct market research and comparable analyses to evaluate site values, rental rates, and land market dynamics in target geographies - Lead financial modeling and underwriting for land acquisitions, ground leases, and build-to-suit developments - Support site selection by synthesizing zoning, entitlement risk, infrastructure constraints, and financial feasibility into clear investment recommendations - Coordinate third-party surveyors, field brokers, and contractors; accompany teams to the field as needed to support site assessment and due diligence - Collaborate with legal, development, and operations teams to review LOIs, PSAs, surface use agreements, and lease agreements, ensuring economic terms align with underwriting assumptions - Maintain accurate land and lease records, deal documentation, and pipeline reporting - Serve as a point of contact for landowner relationships, resolving issues and managing ongoing obligations on the active asset base Requirements - Demonstrated ability to negotiate and draft land agreements, surface use agreements, ROW/easements, or similar instruments - Strong working knowledge of real estate and land fundamentals: lease structures, title, surveys, permits, access rights, development economics, and contract interpretation - Experience reviewing and analyzing complex contractual language, identifying key obligations and risk provisions - Demonstrated ability to synthesize large amounts of data and present clear, actionable recommendations to senior stakeholders - Comfortable coordinating third parties in the field and managing multiple concurrent workstreams under time pressure - Proficiency in Microsoft and Google suites Benefits - Subsidized health, dental, and vision insurance - Equity (options) - 401(k) with 4% employer match - Unlimited PTO - Parental leave - Healthcare and Dependent Care FSA or HSA - Commuter benefits