Top Tech Jobs & Startup Jobs

20 Days AgoSaved
In-Office
San Francisco, CA, USA
130K-180K Annually
Entry level
130K-180K Annually
Entry level
Computer Vision • Machine Learning • Software
Build and improve a browser-based 3D rendering engine for massive LiDAR datasets and CAD tools. Responsibilities include extending point-cloud rendering and GPU picking, solving geometry problems involving clipping and snapping, optimizing performance for large datasets, and improving shared rendering and interaction systems. The role requires strong 3D math, spatial reasoning, software development ability, and experience with TypeScript and browser graphics or comparable performance-sensitive graphics programming.
Top Skills: CesiumGlslThree.JsTypescriptWebgl
27 Days AgoSaved
In-Office
San Francisco, CA, USA
105K-120K Annually
Junior
105K-120K Annually
Junior
Computer Vision • Machine Learning • Software
Generate outbound and expansion pipeline through personalized calling, email, LinkedIn, and event outreach. Qualify inbound leads, conduct discovery conversations, maintain CRM records, and deliver clean AE handoffs. Develop outbound messaging and playbooks, report on conversion performance, provide market and product feedback, and consistently meet qualified-meeting and pipeline quotas. The role requires communicating Mach9’s geospatial AI software credibly to surveyors, civil engineers, infrastructure owners, and executives.
Top Skills: ApolloClayHeyreachHubspotLinkedIn
One Month AgoSaved
In-Office
San Francisco, CA, USA
Internship
Internship
Computer Vision • Machine Learning • Software
Develop and tune computer vision and machine learning models for 2D imagery and 3D point clouds. Projects focus on detecting urban and roadway features, including traffic lights, utility poles, curbs, and road markings. The intern will implement geometry-based algorithms, optimize perception models for real-time edge hardware, and apply machine learning to geospatial infrastructure problems while collaborating with experienced engineers.
Top Skills: 2D Image Processing3D Point CloudsComputer VisionEdge ComputingGeospatial Data AnalysisJaxMachine LearningPythonPyTorch
One Month AgoSaved
In-Office
San Francisco, CA, USA
180K-300K Annually
Junior
180K-300K Annually
Junior
Computer Vision • Machine Learning • Software
Develop and ship computer vision and machine learning features for an AI-enabled CAD system. Responsibilities include data and labeling strategy, model selection and fine-tuning, evaluation pipeline development, 3D perception using LiDAR and imagery, production model adaptation, and customer-driven iteration. The role requires collaborating with product, engineering, customer-facing teams, and surveyors to deliver extraction workflows end to end.
Top Skills: 3D PerceptionCloud GpusComputer VisionDigital SurveyorDinoGrounding DinoLidarMachine LearningOnnxOpen3DPdalPoint CloudsPythonPyTorchPytorch3DSamSparse Convolution LibrariesTensorrtVlms
One Month AgoSaved
In-Office
San Francisco, CA, USA
350K-400K Annually
Senior level
350K-400K Annually
Senior level
Computer Vision • Machine Learning • Software
Head of Sales responsible for owning new customer acquisition and expansion revenue, recruiting and coaching account executives, winning strategic technical accounts, and building a scalable sales organization. The role leads sales strategy, forecasting, CRM, territory planning, commission planning, onboarding, and process development while partnering with executive leadership to shape go-to-market strategy and product direction.
Top Skills: AICadCRM
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One Month AgoSaved
In-Office
San Francisco, CA, USA
130K-160K Annually
Mid level
130K-160K Annually
Mid level
Computer Vision • Machine Learning • Software
Own recurring business processes across billing, accounts receivable, quote-to-cash, customer setup, compensation, and operations. Build reporting, dashboards, OKRs, and analysis; investigate ambiguous problems; and implement improved workflows, systems, documentation, and controls. The role also involves general project management, manual process execution, and identifying automation opportunities across finance, sales, support, and revenue operations.
2 Months AgoSaved
In-Office
San Francisco, CA, USA
130K-170K Annually
Mid level
130K-170K Annually
Mid level
Computer Vision • Machine Learning • Software
Build and maintain automated tests for a browser-based 3D CAD platform, expanding coverage across CAD workflows, data uploads, and exports. Evolve test infrastructure and CI, improve reliability and execution speed, eliminate flaky tests, and create debugging tools for coding agents. Partner with platform engineers to improve application testability and help teams write durable tests. The role also includes performance regression tracking and root-cause analysis across application code and infrastructure.
Top Skills: 3D CadCi/CdCypressGeospatial SoftwareJavaScriptPlaywrightTypescriptWebdriverio
2 Months AgoSaved
In-Office
San Francisco, CA, USA
180K-220K Annually
Senior level
180K-220K Annually
Senior level
Computer Vision • Machine Learning • Software
Build and scale Mach9’s marketing engine, own growth strategy and pipeline goals, generate demand across established and new channels, lead product launches, partner with sales, drive customer advocacy and expansion, and manage a high-performing marketing team. The role combines strategic leadership with hands-on execution across demand generation, revenue marketing, account-based marketing, lifecycle programs, automation, attribution, and AI-enabled workflows.
Top Skills: Ai ToolsClayLinkedInN8NZapier
Reposted 2 Months AgoSaved
In-Office
San Francisco, CA, USA
275K-400K Annually
Senior level
275K-400K Annually
Senior level
Computer Vision • Machine Learning • Software
The Head of ML will define the technical vision, mentor a team of ML engineers, and lead the production of automation products using survey data.
Top Skills: PythonPyTorch
Reposted 2 Months AgoSaved
In-Office
San Francisco, CA, USA
Mid level
Mid level
Computer Vision • Machine Learning • Software
Build and run Mach9's customer community across online and in-person channels. Design onboarding, moderation, programs, events, and partnerships to grow sustained participation, advocacy, and referrals; create content and relay customer feedback to product teams.
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