Roboflow

Title: Infrastructure Engineer Location: USRemote Department: Engineering Employment Type Full time Job Description: Who We Are Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we use, too. We’re building the tools, community, and resources needed to make the world programmable with artificial intelligence. Roboflow simplifies building and using computer vision models. Today, over 1M+ developers, including those from half the Fortune 100, use Roboflow’s machine learning open source and hosted tools. That includes counting cells to accelerate cancer research, improving construction site safety, digitizing floor plans, preserving coral reef populations, guiding drone flight, and much more. Roboflow is supported by great customers and investors, having raised over 63 million from Y Combinator, Google Ventures, Craft Ventures, Sam Altman, Lachy Groom, amongst other leading software investors. Roboflowers love building great things with passionate teammates. We value ownership, accountability, and a bias toward action—whether it's a big initiative or a small fix. You’re naturally curious, hands-on with new tech (maybe even played with ChatGPT or AI products early on), and prefer to show your work over talking about it. Many of us have founder mindsets and thrive in Roboflow’s high-autonomy environment—some even started as side hustlers in school. What We're Looking For Primarily, you like to make great things with passionate colleagues. You are someone that likes to own outcomes, not only inputs. You’re motivated by having responsibility and accountability. You’re eager to ‘do the work,’ big and small. You’re curious and learning about new technologies, perhaps an early tinkerer with MLOps products. You show more than you tell. You’re motivated by the question, “How can I improve this?” and have a track record of doing so, even in ways adjacent to your role. Much of our current team is made up of former founders and thrive in the level of autonomy at Roboflow. Maybe you had a side hustle in high school or college. Many Roboflowers have used our tools before joining. One of the best ways to stand out amongst other applicants is to write about something you have built with Roboflow or contribute to one of ouropen source projects.Likewise we highly value users with meaningful contributions to successful open source devtool and security projects. What You'll Do As a member of our infrastructure team, you'll be at the heart of a fast-paced startup environment. Your primary focus will be on striking the right balance between rapid delivery, high reliability, and robust security. This isn't a traditional, siloed role; you'll need to wear many hats—acting as an infrastructure engineer one moment, and a developer, or even a security analyst. You will be securing, scaling, and maintaining the core infrastructure that powers our product. This includes our cloud architecture, databases, file storage, search clusters, microservices, and machine learning pipelines. You'll work closely with our product team and collaborate across the company on product, operations, and customer-facing projects, constantly context-switching to solve the next critical challenge. Skillset We're looking for a versatile engineer excited by high-impact challenges. At Roboflow, we are AI-native: we expect our team to use AI to accelerate everything from writing code and fixing bugs to analyzing security, cost, and performance. Experience in some or all of the following areas will be crucial: - Production experience with Kubernetes: Building and managing containerized applications at scale. - Infrastructure-as-Code (IaC): Using Terraform, Helm charts, bash scripting, and Python to automate everything. - Scale & Site Reliability: Operating, monitoring, and scaling large-scale applications (especially in ML/AI) in AWS and/or GCP. - Development Skills: Proficiency in Node.js and Python, with the ability to collaborate with full-stack developers on designing and operating SaaS applications. - ML/Big Data Ops: Hands-on experience with the infrastructure required for machine learning at scale (GPUs, Docker, Kubernetes) and familiarity with libraries like PyTorch or Tensorflow. - CI/CD Automation: Experience with tools like GitHub Actions or Spacelift to build and deploy code efficiently. - Pragmatic Security: Awareness of security best practices for cloud operations and how they can be applied to startup environments. - AI-Native Engineering: Leveraging LLMs and AI tools to accelerate the development lifecycle—from writing and refactoring code to identifying security vulnerabilities and optimizing infrastructure costs. A Glimpse of Your Work No two days will be the same. Your tasks will be a blend of strategic projects and hands-on implementation. Examples include: - Running and optimizing a high-availability machine learning inference service. - Collaborating with customer security teams to ensure secure integration. - Developing creative IaC solutions to scale our platform cost-effectively. - Working with the engineering team to define SLOs/SLAs and participating in incident response. - Improving the Observability and Alerting stack and the processes built around it. - Diving deep into our stack to identify and act on cost-optimization opportunities. - Contributing code (Python, JavaScript, etc.) as part of a team designing and deploying new product features. - Fixing security vulnerabilities and bugs - Hardening our systems and processes to meet SOC 2, HIPAA, and GDPR requirements, making us audit-ready. - Participating in an on-call rotation to ensure platform reliability. Within one week, you will… - Learn all about computer vision, our product, company, customers, and vision. - Ship something substantial to an end user - Start learning our infrastructure and security practices. Within one month, you will… - Onboard in person with your manager - Build your first computer vision project with Roboflow (if you haven't already) - Start contributing to infra-as-code - Start working with customers to help with their security questions and onboarding - Understand the architecture of Roboflow Within six months, you will… - Attend your first all company onsite - Be ramped up on other relevant parts of the Roboflow product. - Who You'll Be Working With Our team of ~100 attracts talent like executives that wanted to return to building, founders with a 100M+ exit, Roboflow users turned team members, open source contributors, a cyclist who biked across the United States, prolific high school hackers, a CTO from 100+ engineering organization, amongst many exceptional others. You will directly be working with our Engineering Lead and a team of product, infrastructure and security engineers. Where You'll Work Roboflow is distributed across the US and Europe. We currently have Hubs in New York City and San Francisco (and plan to open more as we grow density in new cities). We provide opportunities (like team on-sites in different cities) and resources (like a $4000/yr travel stipend) to work in person with other team members as much as you'd like, while also supporting remote team members. You can work from one of our Hubs (we offer a relocation bonus), work from home, work at co-working spaces, etc. We want you to work where you work best! When You'll Work Roboflow primarily operates during the daytime hours in the US and there are some synchronous meetings you’ll be expected to attend each week. Apart from that, we have a flexible schedule that allows you to work collaboratively with other team members and asynchronously when needed. What You'll Receive To determine your salary, we use a number of market and data-driven salary sources. We review all salaries every six months to ensure we stay in line with the market. The target compensation for this role is USD $165,000 base - $200,000 base. In addition to our cash compensation, we offer generous perks and benefits. Below are some of the highlights: - $4000/yr Travel Stipend to travel anywhere anytime to work alongside other Roboflowers - $350/mo Productivity stipend to spend on things that make your work environment more productive, like high-speed internet at home or a co-working space - Cover up to 100% of your health insurance costs for you and your partner or family - Equity in the company so we are all invested in the future of computer vision

Role Description As a GTM Recruiter, you’ll own hiring for Roboflow’s go-to-market functions—Sales, Customer Success, Marketing, Partnerships, and other revenue-driving teams. You’ll build deep relationships with hiring managers, define the profiles we need, and deliver exceptional candidate experiences that help Roboflow attract and close the best talent in AI. - Act as a partner to founders and functional leaders in building the teams that bring computer vision products to market. - Consistently hire exceptional talent and earn the trust of hiring managers and executives. - Build recruiting systems that scale alongside the company. - Partner with hiring managers to define role requirements, success metrics, and scorecards for GTM hires. - Source, screen, and guide candidates through the interview process end-to-end. - Create high-signal interview loops and ensure fast, fair, and delightful candidate experiences. - Build talent pipelines for current and future GTM roles, with an emphasis on quality and velocity. - Collaborate cross-functionally with Operations, Finance, and Leadership to forecast hiring needs and timelines. - Maintain a strong pulse on market trends for go-to-market talent in AI and developer tools. - Serve as a trusted advisor to leaders on hiring strategy, candidate calibration, compensation benchmarks, and talent market dynamics. - Develop creative sourcing strategies that identify exceptional candidates before they are actively looking for their next role. - Continuously improve recruiting processes, systems, and reporting to increase hiring quality and efficiency. Qualifications - Full-cycle recruiting experience with demonstrated success hiring go-to-market talent in high-growth startup, SaaS, or technology environments. - Deep familiarity with go-to-market roles and compensation models (AE, CSM, Marketing, RevOps, Partnerships, etc.). - Proven ability to build and maintain high-quality pipelines and close top candidates. - Exceptional sourcing instincts and a demonstrated ability to engage hard-to-reach candidates. - Experience managing ATS workflows (Ashby, Greenhouse, Lever, etc.). - Excellent written and verbal communication; you can sell a vision as well as a role. - Strong business judgment and the ability to partner effectively with hiring managers and company leaders on hiring strategy. - Curious about technology and able to quickly understand and communicate technical products to candidates and prospective teammates. - You develop strong opinions about talent and back them up with evidence, while remaining open to changing your mind when presented with new information. - Bias toward speed and clarity—you move fast and keep everyone aligned. - Comfortable operating with autonomy and accountability. Requirements - Motivated by having responsibility and accountability. - Eager to do the work, big and small. - Energetic about building relationships, spotting great talent early, and connecting people with missions that matter. - Motivated by the question, “How can I improve this?” - Believe exceptional hiring is one of the highest-leverage activities inside a company. - Enjoy acting as a partner to leaders, helping shape teams, calibrate talent, and make better hiring decisions. Benefits - Equity in the company so we’re all invested in the future of computer vision. - $4,000/year Travel Stipend to work alongside other Roboflowers anywhere, anytime. - $350/month Productivity Stipend for things like high-speed internet or co-working space. - Up to 100% coverage of health insurance for you and your family. - Remote-first / flexible schedule. - Unlimited PTO (with a 2-week annual minimum). - 12 weeks parental leave. Interview Process (~4 hours) - Before the Interview: We’ll review your application, LinkedIn, and any materials you share. - Introduction Phase: - [45m] Meet with the hiring manager - [45m] Meet with People Operations - Team Interview Phase: - [45m] Meet with a go-to-market leader - Final Stage: - [60m] Deep dive on your sourcing strategy, product familiarity, and recruiting systems Company Description At Roboflow, we believe great ideas come from everywhere—and everyone. We’re proud to be an Equal Opportunity Employer committed to building a diverse and inclusive team.

• Own full-cycle recruiting across Product, Engineering, Design, and Research • Partner with hiring managers to define success profiles, interview loops, and hiring strategy • Build and maintain high-quality pipelines through sourcing, networking, referrals, and creative outreach • Develop conviction around candidate quality through structured assessment and evidence-based evaluation • Create exceptional candidate experiences from first conversation through close • Improve recruiting systems, processes, and tooling to increase hiring quality and efficiency • Partner with leadership on workforce planning and future hiring needs • Continuously refine how Roboflow attracts, evaluates, and hires technical talent • Take ownership of recruiting initiatives and strategic projects aligned with your experience and strengths

• Own positioning end-to-end: Define how we talk about products and features. • Lead product launches: Architect launches that land. • Build the buyer surfaces: Buyer facing landing pages, ROI frameworks. • Deliver content that sales actually uses: Decks, battle cards, objection handling. • Productize customer proof: Turn customer wins into structured outcomes-led case studies. • Drive vertical strategy: Help decide where to lean in, then build the vertical-specific messaging.

• Take validated proof-of-concepts from the pre-sales process and build the first production deployment. This includes data pipeline setup, model optimization, edge device configuration, and integration with customer infrastructure. • Deploy and operate computer vision systems on edge hardware in physical environments. Where conditions are unpredictable and connectivity is unreliable. This is hands-on, hardware-heavy work. • Work on-site or deeply embedded with the customer’s engineering team during the initial deployment phase (typically 4–12 weeks per engagement). Build trust, transfer knowledge, and establish the foundation for long-term success. • Write production-grade code that will live in the customer’s environment. Handle the messy realities of real-world computer vision: lighting variability, camera calibration, model drift, network latency, and edge hardware constraints. • You'll be closer to the customer's real problems than anyone else at Roboflow. You'll surface the gap between what the customer says they want, what they actually need, and what the machine operators on the floor think. That feedback loop back to Product and Engineering shapes what we build next, and it's one of the most valuable things FDEs bring back to the company. • Document your deployment architecture, create runbooks, and train the customer’s team so they can operate the system independently. Provide a clean handoff to Roboflow’s Implementation Engineers for scaling and expansion. • Identify and resolve technical risks early. If a customer’s environment won’t support the planned architecture, you find the alternative before it becomes a project failure. • Codify repeatable deployment patterns, starter templates, and reusable artifacts that make future deployments faster and more reliable.

• Own the annual budgeting, quarterly re-forecasting, and long-range planning processes, ensuring alignment between financial outcomes and business strategy • Build and maintain the company’s consolidated operating model and driver-based financial models for revenue, operating expenses, headcount, and cash • Partner with department leads to manage their budgets, understand their analytical needs, and identify opportunities for efficiency • Lead monthly close reviews: prepare budget vs. actual analysis, explain variances, and turn results into clear narratives for executive leadership • Track and report on SaaS and operational KPIs, such as ARR, NRR, CAC payback, magic number, and operating margins, and surface the insights behind the metrics • Prepare Board, investor, and executive materials: quarterly Board decks, operating reviews, and ad-hoc strategic analyses • Run scenario planning, sensitivity analysis, and unit economics work to support capital allocation, pricing, and headcount decisions • Improve the FP&A tech stack and process: drive better data quality, automate reporting, and shorten the cycle time on planning and forecasting • Support strategic finance projects as they arise — capital raises, M&A diligence, pricing analysis, and other ad-hoc work for the leadership team

• Develop novel machine learning methods and contribute to the research agenda of the team • Identify areas for innovation and create novel approaches • Write papers aimed at top conferences • Translate research methods into production systems running at scale

• Own and grow a small set of high-impact, strategic accounts • Build deep, multi-threaded relationships across engineering, product, and executive stakeholders • Identify and drive new use cases from initial pilots to full production rollouts • Lead complex, technical sales cycles (often multi-quarter, multi-stakeholder) • Partner closely with Field Engineering and Product to shape solutions and unblock deals • Develop and execute account plans that drive long-term expansion (not just one-off transactions) • Navigate procurement, security, and legal processes with large enterprises • Act as the voice of the customer - influencing product direction and our GTM strategy • Help define how we sell to strategic customers, not just execute a playbook

• To continue hitting our ambitious goals, you’ll own deals from start to finish. • This includes collaborating with our SDRs to qualify inbound leads and strategically prospecting into target accounts. • You’ll be managing multiple deals concurrently, navigating org structures, and helping alleviate our prospects’ pain by showing the possibility, value, and impact of computer vision with Roboflow. • You’ll have a key hand in shaping the sales process. That includes an eagerness to identify what’s working, creating collateral to support the process, and iterating. • Identify and qualify leads (with our SDRs) and develop them into high-value opportunities. • Build relationships with our prospects and customers, including executives in your accounts, to help understand their needs and simplify closing a deal. • Close deals efficiently: Increasing our ACV and compressing our sales cycles. • Prospect into new accounts and expand existing ones. • Keep our CRM up to date (customer info, deal size, deal status), so we can forecast and improve our sales process. • Work with technical stakeholders, including executives, to identify opportunities to accelerate the adoption of computer vision in their business with Roboflow. • Collaborate with the rest of our team (product, marketing) to identify new features and messaging to increase the value and use of Roboflow.

• Build and extend Salesforce functionality under the direction of Business Infrastructure team (Apex, LWC, Flows, custom objects) • Implement GTM workflows, automation, and data models across Salesforce and related tools • Support custom forecasting logic, pipeline inspection views, and reporting beyond standard Salesforce features • Build lightweight internal tools and custom views to support Sales, RevOps, and leadership • Refine integrations with Salesforce with other GTM tools (sales tech stack like Outreach, marketing enrichment with Clay and Customer.IO, product usage data) • Help design and deploy AI- and LLM-powered GTM workflows (e.g., deal scoring, risk detection, activity summarization) • Maintain and improve reliability, performance, and data quality across GTM systems • Partner closely with RevOps, Sales Ops, and Engineering to turn requirements into shipped solutions