DroneDeploy

Full-stack Engineer

• Lead the design, evaluation, and deployment of our production photogrammetry pipeline — feature detection and matching, structure from motion, multi-view stereo, monocular depth estimation, mesh reconstruction, and the supporting infrastructure that makes them work at scale.
• Drive integration and evaluation of newer 3D reconstruction approaches — gaussian splats, foundation 3D models (MASt3R / DUSt3R-class and successors), and what comes next — where they earn their place in the pipeline.
• Optimize 3D systems for speed, accuracy, and robustness at production scale.
• Use the right tool for the problem — classical 3D computer vision when it wins, learned approaches when they win.
• Own the hardest technical investigations end-to-end — initial triage through production rollout and long-tail support.
• Set the technical bar for photogrammetry on the team — review designs, raise the quality of experiments, codify what "great" looks like.
• Own the production observability standard for photogrammetry — KPIs, instrumentation (metrics, logs, dashboards, alerts), and the processes that catch data-quality issues early and sustain performance at scale.
• Mentor engineers on the team, then take on 1–2 direct reports in your first year and grow your scope over time as the sub-team expands.
• Drive execution of the photogrammetry core roadmap in tight partnership with CV leadership. Translate strategic direction into shipped work, sequence it well, and call out when something isn't going to land in time to course-correct.
• Codify debugging and investigation playbooks into reusable skills to empower the team and support the organization, minimizing escalations.
• Reshape how the team uses AI across the SDLC — driving adoption of AI-first and prototype-first workflows and pushing the bar on what these tools should do for us.
• Author reusable tooling that scales the team — agent skills, prompts, debugging playbooks, custom tooling — so other engineers (and our support org) can stand on your shoulders rather than escalate.
• Run rigorous evaluations of AI tools — where they help, where they hurt, and how to tell.
• Drive the adoption of prototype-first and AI-first development workflows.
• Review agent-generated code with the same rigor as human-written code, and establish standards for trust and reliability.
• Treat the AI tooling landscape as a moving target: actively track what's new, run it against current problems, and champion effective new tools across the team.

Lead Software Engineer, 3D Computer Vision

• Drive the technical vision and architecture for Aerial Capture, driving clean code standards, setting technical direction, and making key architectural decisions.
• Serve as a primary code contributor, lead projects end-to-end, and proactively coordinate work to ensure predictable delivery, technical quality, and the quick unblocking of teammates.
• Raise the technical bar across the team by providing hands-on mentorship, pairing, and timely, direct technical feedback to foster engineer growth.
• Take ownership of system health, including reliability and maintainability. Champion the reduction of technical debt and measure outcomes to drive value throughput.
• Act as the technical voice for the team in cross-functional forums, communicating decisions, trade-offs, and project status clearly to Engineering Managers and stakeholders.

Senior Software Engineer, Fullstack

DevOps Engineer

• Own key areas of DroneDeploy’s cloud infrastructure, improving reliability, performance, and usability of the platform and related services.
• Design, build, and evolve infrastructure-as-code to provision and manage scalable, secure environments used across engineering teams.
• Lead improvements to CI/CD pipelines and release workflows (e.g., GitHub Actions, Jenkins, CircleCI), creating templates and tooling that make deployments faster, safer, and more consistent for product teams.
• Champion observability by implementing and refining monitoring, logging, alerting, and dashboards that give teams clear visibility into system health and customer impact.
• Partner with engineers across multiple product areas to streamline code deployment, promote a culture of collaboration and shared responsibility, and define “golden paths” for how services are built, tested, and operated.
• Identify areas of operational toil or fragility and implement durable automation and process improvements that reduce recurring incidents and support burden.
• Participate in the production support rotation, including incident response, troubleshooting high-impact issues, and contributing to post-incident reviews and follow‑through actions.
• Contribute to ML Ops efforts by collaborating with AI-focused teams on running machine learning processes in the cloud, supporting model training, evaluation, and related infrastructure needs when required.
• Share expertise through code reviews, documentation, pairing, and mentoring, helping other engineers adopt best practices in infrastructure, deployment, and reliability while continuously learning new tools and techniques.
• Use AI tooling in day‑to‑day engineering work (e.g., code generation, test scaffolding, troubleshooting) and provide feedback that helps improve how DroneDeploy uses AI across R&D.

Senior DevOps Engineer

Customer Success Manager

• Set the multi-year Customer Success strategy and operating model for owners and operators across Enterprise.
• Lead, coach, and grow a high-performing CS team, including managers and individual contributors.
• Build and refine global CS playbooks that drive onboarding, time-to-value, product adoption, expansion, and renewal.
• Partner with Sales on coverage, handoffs, renewal strategy, and expansion planning.
• Represent the voice of the customer with Product and Engineering to influence roadmap and ensure strong feature adoption.
• Own CS operations: processes, forecasting, documentation standards, and effective use of CRM / CS platforms.
• Use health scores and leading indicators to surface risk, reduce churn, and uncover upsell and cross-sell opportunities.
• Design and optimize scalable programs (digital onboarding, in-app enablement, lifecycle communications, automated engagement).
• Champion consistency and standardization across global CSMs by creating a clear customer journey playbook and aligning internal motions (including AI-enabled workflows) across regions and segments.

Lead Software Engineer, 3D Computer Vision

Senior Software Engineer, Fullstack

Senior DevOps Engineer

Director of Customer Success