DroneDeploy

• Own the GTM systems stack end-to-end, including Salesforce, Salesforce CPQ, Marketo, Clay, ZoomInfo, CommonRoom and the integrations between them. • Lead Salesforce architecture and governance across objects, fields, flows, validation rules, routing logic, and integration endpoints. • Build automation and AI-powered workflows that remove manual work across lead routing, lifecycle management, handoffs, enrichment, and other core GTM motions. • Own data quality and enrichment infrastructure across Salesforce and Marketo to support ABM, outbound, forecasting, and operational visibility. • Turn ambiguous requests from Sales, Marketing, and Customer Success into scalable system solutions with clear tradeoffs, strong follow-through, and durable documentation. • Manage and develop a small team, set priorities, unblock work, and create the operating rhythm that keeps GTM systems fast, reliable, and maintainable.

• Design and run the foundational systems that power DroneDeploy’s go-to-market strategy. • Focus on the inbound funnel and campaign operations (lead capture, campaign intake, production, and channel reporting). • Shape how tools like Marketo, Salesforce, Clay, Claude CoWork, Glean, Gemini and related platforms work together. • Set the operating standards that Demand Gen Managers, Field Marketers, and BDRs rely on every day. • Work directly with senior GTM leaders, including the VP of Demand Generation and senior directors in Comms, Business Development, and Revenue Operations.

• Design, train, evaluate, and ship 3D reconstruction systems across our pipeline — gaussian splats, foundation 3D models, SfM, MVS, monocular depth, mesh reconstruction. • Drive integration of modern reality capture approaches (splatting, foundation models) into our production stack — making the calls on what's ready to ship and what isn't. • Own the hardest technical investigations in your area, from initial triage through production rollout and long-tail support. • Optimize 3D systems for speed, accuracy, and efficiency at production scale. • Use the right tool for the problem — classical 3D computer vision when it wins, learned approaches when they win. • Stay current with 3D vision research and evaluate promising techniques against our workflows. • Hold a high technical bar for your own work — high-quality designs, well-tested code, production-ready ship habits. • Contribute to the team through code review, pairing, and design feedback. • Codify debugging and investigation playbooks into reusable skills. • Use AI tools daily across the SDLC, with judgment on where they help and where they don't. • Author agent skills or tooling that other engineers use; contribute to the team's shared skills library. • Conduct rigorous evaluations of new AI tools and bring useful patterns to the team. • Review agent-generated code with the same rigor as human-written code. • Track the AI tooling landscape and bring useful patterns to the team.

• Field testing - Daily drone flights for regression, acceptance, and validation. You need physical space to fly (e.g. 10+ acres accessible from your location) and the judgment to run a high-quality flight program on your own. • Test planning and execution - Define comprehensive test plans for new features and releases. Know the requirements better than the PM or EM. Catch edge cases before anyone else sees them. • QA team coordination - Design and schedule QA test programs, write clear plans and checklists, and reduce back-and-forth so QA is never the bottleneck. • Bug reporting quality - Own the bug reporting rubric (repro steps, severity, exposure, context, logs, media) and enforce it so triage is plug-and-play - no validation pass needed to understand a ticket. • Regression strategy - Manage Dock, Android, and iOS regression suites. Own the "regression found" playbook. Make sure the suites actually test user workflows and catch what matters. • Automated testing - Build and maintain automation to reduce manual testing load and increase confidence. AI-first approach to test setup, maintenance, and analysis. • Quality metrics - Track post-release bugs per feature, escalation patterns, QA throughput, and SLO-violating issues. Use them to improve processes and focus QA resources where they reduce risk most. • Equipment and environments - Maintain Qase suites, device/drone inventory, firmware tracking, and internal QA tooling. No fire drills because something wasn't set up.

• 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.

• 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.

• Lead the IT Engineering function as a player-coach, balancing hands-on execution with team leadership, prioritization, and operational rigor. • Own IT support performance, including queue health, routing, service levels, and project execution for a distributed workforce. • Own identity and SaaS lifecycle management across Okta, Google Workspace, Slack, and Atlassian, with a focus on low-touch onboarding and offboarding through SCIM and scripting. • Manage the company’s macOS-heavy endpoint fleet through Iru or similar MDM tooling, maintaining secure device posture and compliance baselines. • Drive the IT portion of SOC 2 and ISO 27001 readiness, including evidence collection, access reviews, control testing, and partnership on shared controls with Security Engineering. • Lead internal AI tooling enablement for employees, including support for Claude Cowork, ownership of the org skills library, and rollout of MCP servers with sustainable operating controls. • Manage SaaS renewals, access policies, and the IT budget surface area to improve cost efficiency and tooling effectiveness. • Ensure policies, runbooks, and operating documentation are complete, current, and usable so the function scales consistently and remains audit-ready. • Deliver clear first-year outcomes, including SLO attainment on response and resolution, reduced manual lifecycle work, broad Cowork skill adoption, four internal MCP server deployments, and clean SOC 2 / ISO audit cycles with no IT findings.

Title: Senior Software Engineer, Mobile (USA) Location: Remote Type: Full Time Workplace: remote Category: Mobile Job Description: About DroneDeploy DroneDeploy powers field teams with robotics and AI. As the only reality capture platform that combines robotic automation, AI agents, and a truly unified system, DroneDeploy allows critical industries to operate with speed and confidence. From construction and energy to agriculture, the world’s largest companies use DroneDeploy to simplify field operations, improve safety, and make smarter decisions, faster. By combining aerial drones, 360 and fixed cameras, ground robots and proprietary AI, we’re bringing the power of automation and visual intelligence to all stakeholders, from the field to the boardroom. At DroneDeploy, we thrive in a mostly remote-first culture rooted in innovation and impact. We’ve been recognized as a Best Place to Work in the SF Bay Area and named one of America’s Great Places to Work—but what truly sets us apart is the experience you gain: solving real-world challenges with cutting-edge technology, surrounded by teammates who are as passionate as they are supportive. Our team is bold, mission-driven, and building something that matters. We foster a culture where a variety of perspectives drive smart decisions, and where growth—both personal and professional—is part of the journey. Whether it’s flexible schedules, family-friendly benefits, or our strong track record of internal promotions, we invest in people as much as we do in product. If you’re looking to be part of something ambitious, authentic, and transformative, you’ll find your place at DroneDeploy. Role Overview DroneDeploy is transforming how industries see the world. As part of the Ground Mobile team, you’ll build the innovative 3D scanning tools that turn smartphones and 360° cameras into professional-grade mapping devices. Our mission is simple: create the most reliable, user-centric capture tech on the planet. From pre-construction to long-term operations, your code will empower customers to capture reality with a single tap. In this role, you will create the most reliable, user-centric capture experience on Android. You will take learnings from our existing iOS app and Android proofs of concept and turn them into a production-grade Android app. Pairing your Android knowledge with the team’s domain expertise, you will help define the architectural foundation and drive the product forward with the same level of craft and reliability we’ve built on iOS. We champion diversity and encourage candidates of all backgrounds to apply, even if you don't meet every listed qualification. Share with us your distinctive strengths; we're keen to understand the unique perspectives you bring to the table. Work Environment - Work Model: Remote, work from home (US-based). We are a remote-first team that stays synced through channels such as Slack, Google Meet, and shared documentation. Candidates located in the Mountain, Central, or Eastern time zones are preferred. - Core Collaboration Hours: The team is remote-first (US-based) and maintains 5 hours of core overlap with Pacific Time. For example, a common window is 12:00 PM – 5:00 PM ET / 9:00 AM – 2:00 PM PT. - Travel: Occasional (1-2 domestic trips per year) for team offsites, industry conferences (like DroidCon), or company events. Responsibilities - Define the technical foundation and architecture for the Ground Mobile Android app, in partnership with your teammates. The decisions you make will shape the codebase for years to come. - Build resilient Kotlin client-side logic with offline-first principles. Real-world constraints include: low-connectivity job sites, large capture sets, and intermittent hardware signals. - Collaborate with product and design to help translate customer frustrations into elegant technical solutions. - Write the code that talks to 360-degree cameras and high-accuracy GPS. You’ll handle the "messy" reality of hardware integration on Android’s diverse device ecosystem. - Establish Android CI/CD, testing standards, and release tooling from scratch, working cross-platform to bring wins to our iOS app when it makes sense. - Use ARCore and AI to prototype new ways to see the world. We value the "failed" experiment that teaches us something new. - Elevate team output through reviews and hackathons, leveraging empathetic feedback and new AI-assisted tools to help your peers ship better code, faster. - Participate in occasional onsite visits (1–2 trips per year) to experience field workflows directly and build customer empathy. Requirements - 5+ years of experience delivering mobile applications, including meaningful contributions to a production app with a significant user base or high architectural complexity. - Strong command of Kotlin and modern Android practices - Experience with Wi-Fi, Bluetooth, or other inter-hardware communication with Android - Proficiency with Android Studio Profiler, Firebase Crashlytics, and/or monitoring and observability technologies that enable you to troubleshoot crashes, identify memory issues, and debug hardware connectivity problems across a diverse device ecosystem. - Proactive use of AI-assisted tools (i.e., coding agents, LLM harnesses) to accelerate your software development and deliver more value to customers more quickly. - Experience explaining complex technical trade-offs to non-technical teammates to drive project alignment. - Experience with or a demonstrated eagerness to learn our backend stack (Python, Tornado, MongoDB) to trace data from device to database. - Experience with ARCore, spatial computing, or 3D capture workflows on Android. - Familiarity with external camera hardware protocols, particularly Bluetooth, Wi-Fi Direct, or the Open Spherical Camera (OSC) standard. - Experience taking early-stage or proof-of-concept mobile work and turning it into a production-quality app with a coherent, debuggable, observable architecture. - Professional iOS experience, as this role may contribute to both our Android and iOS apps. Why Join DroneDeploy? - Greenfield ownership, real-world constraints: You won’t inherit a decade of technical debt. You’ll define the architecture for Ground Mobile Android from scratch with the benefit of a production iOS app and years of learnings from the field. - Technical challenges that go far beyond the screen: 360° cameras, high-accuracy GPS, Bluetooth and Wi-Fi Direct on a fragmented device ecosystem, in low-connectivity job sites. - AI-first by design: We build AI tooling into how we actually work, so engineers can focus on the hard problems, not the repetitive ones. - Real-world impact: Your code will be used by workers in construction and energy capturing real job sites. You’ll know the customers, see the feedback, and feel the difference your work makes. - Deliberate by design: We are thoughtful by default. We plan before we code, create space for real debate, and ship with confidence because we did the work up front. #LI-Remote Employee Offerings & Benefits (Benefits may vary by location and role) These are just some of the perks you'll enjoy—there's more to discover once you join us! Culture of Innovation & Collaboration – Thrive in an environment that values creativity and teamwork. Drone Certification – Get certified and gain unique, hands-on skills with our full backing. Flexible Work Arrangements – Enjoy autonomy with remote-first options and schedule flexibility. Paid Family Leave – Take the time you need to support your family during life’s most important moments. Comprehensive Healthcare Coverage – Plans designed to support your well-being. Career & Growth Development – Build new skills and unlock opportunities through continuous learning. Flexible PTO – Take time off when you need it to recharge—we trust you to manage your time well. Employee Referral Bonus – Know someone great? Refer them and earn a bonus when they join our team. DroneDeploy is an equal opportunity employer. All DroneDeploy employees are responsible for protecting the company and customer data by following information security policies and procedures. Please refer to our Recruitment Privacy Notice for information about privacy during the recruiting process.

Title: Product Support Associate (USA) Location: Remote Mountain or Pacific time zones Type: Full Time Workplace: remote Category: Product Support Job Description: Role Overview As a Product Support Associate, you are a front-line technical expert for customers using DroneDeploy’s drone flight, 360 capture, and mapping tools. You’ll own issues from intake to resolution—troubleshooting across mobile, web, and field workflows, and surfacing patterns that point to product or process improvements. Reporting to the Manager of Product Support, your work keeps customers productive on high-stakes projects and feeds real customer signals back into how we build and support the platform. We champion diversity and encourage candidates of all backgrounds to apply—even if they don't meet every listed qualification. Share your distinctive strengths with us; we're keen to understand the unique perspectives you bring to the table. Work Environment - Work Model: This role is fully remote for candidates located in the Mountain or Pacific time zones only. Employees are expected to work from home with reliable internet and maintain availability during the team’s core business hours. - Business Travel: Occasional domestic travel is expected a few times per year for company events, training sessions, and team onsites. - AI tooling: This role is expected to use AI tooling thoughtfully to improve research, troubleshooting, documentation, and response quality while maintaining accuracy and sound judgment in customer communications. Responsibilities - Resolve customer tickets via email, chat, and phone in Zendesk, meeting SLAs while keeping responses crisp, accurate, and on-brand. - Diagnose issues across flight planning, drone and 360 capture, uploads, processing, and visualization, using logs, screenshots, and context to get to root causes. - Spot recurring themes and edge cases, and escalate clearly to Product, Engineering, or Technical Support with sharp summaries and reproduction steps. - Write and update customer-facing help content and internal runbooks that make the next issue faster and easier to solve. - Use AI-enabled and standard support tools to research issues, summarize threads, and draft strong responses, then refine them based on your own judgment and customer context. - Handle tough conversations with calm, empathy, and de-escalation skills that keep relationships strong even when customers are under pressure. - Contribute to small projects that sharpen team operations, from improving macros and workflows to refining how we measure and report support performance. Requirements - At least one year as a commercial drone pilot or a degree/certificate in GIS, Geomatics, or a closely related geospatial field. - Strong troubleshooting instincts and structured thinking—you’re comfortable breaking problems into steps, testing hypotheses, and explaining what you did. - Proven ability to manage a ticket queue: prioritize well, follow through, and keep customers and teammates in the loop without heavy day-to-day oversight. - Excellent written and verbal communication; you can turn technical details into clear, straightforward guidance. - Demonstrated empathy and composure in customer-facing roles, especially when users are frustrated or facing time-sensitive field conditions. - Curiosity and a learning mindset—you like new tools, new workflows, and understanding how customers actually use the product. - Ability to consistently work an early-day schedule aligned to Pacific or Mountain Time (for example, ~7:00 a.m–4:00 p.m. PT or 8:00 a.m.–5:00 p.m. MT), Monday through Friday, plus occasional travel for events or training. - Drone Certification: For this position, obtaining a USA–Part 107 license is essential within the first 90 days of employment and must be maintained for the entirety of tenure in the role. - Nice to have (not required): experience in construction, surveying, agriculture, energy, or facilities; experience with 360 cameras, RTK/PPK, GIS/CAD/photogrammetry tools; familiarity with APIs/SSO/SQL, JIRA, Confluence, Zendesk, Google Workspace; fluency in another language (e.g., Korean, Japanese, Spanish, Portuguese); interest in photography or imaging. Why Join DroneDeploy? - Help customers do meaningful work—using drones, robots, and 360 cameras to safely capture data, reduce rework, and keep complex projects on schedule. - Build rare, in-demand expertise at the intersection of drones, geospatial data, and 3D reality capture, with exposure to RTK/PPK, photogrammetry, and industry-specific workflows. - Grow into deeper technical, customer, or product paths (Technical Support, Customer Success, Services, Product, and more) as you expand your skills. - Influence product quality by turning real ticket patterns into clear input for Engineering and Product, not just “closing cases.” - Work in a modern, AI-enabled support environment that prizes smart tooling, sharp thinking, and concise, high-impact communication—without sacrificing empathy. - Enjoy the flexibility of a U.S.-remote role plus the connection of periodic in-person company and team gatherings. #LI-Remote We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

• 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.