35 dashboard developer jobs at 30 companies in Cotati, CA
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Software Engineer (Dashboard)
San Francisco or New York City
OnsiteFull Time
Browserbase: Serverless infrastructure for running and managing headless browsers.
Experienced frontend/full‑stack engineer with React/Next.js and TypeScript; familiarity with Node.js, Postgres, APIs, and building data‑rich dashboards; strong communication and ownership.
Stripe: Provides global financial infrastructure and payment processing for businesses.
10+ YOE10+ years building large-scale user-facing web applications, leading cross-functional engineering projects, deep frontend/full-stack expertise, performance engineering, and strong communication.
Lead Software Engineer, Dashboard Build, Remote in the U.S.
San Francisco, California, United States
$187k-$268k/yrRemoteFull Time
CiscoNASDAQ: CSCO: Develops and sells networking hardware and cybersecurity software.
8+ YOEBachelor's+8yrs or Master's+6yrs or PhD+3yrs in development/build/release engineering; experience with CI/CD, containers, cloud, JS/TS, React, Ruby; security and compliance for FedRAMP/DoD preferred.
SalesforceNYSE: CRM: Sells cloud-based customer relationship management and business software solutions.
Hands-on Tableau Next, row-level security design, SQL with Snowflake, and dashboard access-model experience. Familiarity with agentic workflows and 0-to-1 data products is valued.
LiveKit: Infrastructure for real-time voice and video AI applications.
6+ YOE6+ years engineering experience, strong TypeScript skills, comfort with Go, experience shipping developer-facing UIs/CLIs and dashboard tooling for robotics, strong product sense and communication.
Customer Facing Applied AI Engineer, Retail Perception
North America or San Francisco
$120k-$160k/yrHybridFull Time
Simbe: Autonomous robots for real-time retail inventory and shelf auditing.
3+ YOERequires 3+ years in software engineering, applied ML, data engineering, computer vision operations, or related work; strong Python, pandas, SQL, Linux, command line, Git, and production debugging skills.
Machine Learning Engineer, Model Evaluations (Speech LLM) - San Francisco
San Francisco, California, United States
$180k-$270k/yrHybridFull Time
Plaud: Develops AI-powered voice recorders and automated transcription software.
Python software engineering; building distributed systems, data pipelines, and evaluation harnesses at scale; partner with ML researchers to define benchmarks; build dashboards and monitor model health; debug mid-training anomalies; communicate results clearly.
Discord: A platform providing voice, video, and text communication services.
3+ YOE3+ years analytics/data engineering experience, strong SQL and Python, experience designing data models, metric ownership, BI/dashboard experience, strong communication and business acumen.
Town: AI-powered productivity assistant that automates workplace workflows.
Experienced engineer with PLG mindset who ships product fast, instruments funnels and dashboards, runs experiments, optimizes invite/conversion flows, and builds enterprise features including SSO and admin controls.
Clera: AI talent agent matching professionals with high-growth startup roles
Experience building growth data layers, data pipelines, dashboards, outbound tooling, and AI-powered internal tools; strong scripting in Python/TypeScript/SQL; growth/PLG experience and data hygiene discipline.
Python, TypeScript, SQL, Claude Code, Codex, PostHog, APIs, webhooks
Anthropic: Developing safe and reliable artificial intelligence systems.
Proficiency in SQL and Python; experience building ETL/ELT pipelines, cloud data platforms, modern data stack tooling, and dashboards for large-scale safety and monitoring data.
OpenAI: Develops artificial intelligence models and generative AI software services.
Strong data engineering with SQL and Python; experience building pipelines, datasets, dashboards, and automated reporting; knowledge of IT controls and audit readiness.
Virta Health: Reversing type 2 diabetes through virtual care and nutrition.
2+ YOE2+ years agentic AI and IT operations, 4 years technical program management, hands-on generative AI deployment, API/model orchestration, Python and C++ proficiency, MCP integration, and dashboarding with Sheets/SQL/Looker.
Google Gemini, OpenAI/ChatGPT Enterprise, Microsoft Copilot, Python, C++, Model Context Protocol (MCP), Sheets, SQL, Looker, Ashby, AWS
Databricks: A unified platform for data analytics and artificial intelligence.
3+ YOE3+ years in data or analytics engineering; strong Databricks, SQL and Python experience; building production data pipelines, analytics layers, dashboards, and AI applications; strong communication and problem-solving.
Sr. Business Intelligence Engineer - Digital Experiences & Capabilities
San Francisco, California, United States
$181k-$289k/yrHybridFull Time
VisaNYSE: V: Global payment technology facilitating electronic funds transfers.
8+ YOE8+ years in data engineering/analytics with strong data modeling, governance, and AI-driven analytics; experience with large datasets, dashboards, and MarTech platforms; strong collaboration and communication skills.
Senior Technology Alliances Manager, - Frontier AI
United States or San Francisco or California or Denver
$128k-$160k/yrOnsiteFull Time
Ping Identity: Provides identity and access management software for enterprise security.
5+ YOE5+ years in business development or partner management with AI/ML platform experience, knowledge of identity and access management, strong negotiation and executive presence, ability to build business cases and dashboards.
Acadia PharmaceuticalsNASDAQ: ACAD: Develops and sells medicines for neurological and rare diseases.
8+ YOEBachelor's in relevant field, 8+ years in analytics/AI or digital innovation within pharma/biotech/healthcare, hands-on AI-driven product and dashboard development, knowledge of CDISC and FHIR, willingness to travel domestically and internationally.
Member of Technical Staff — Research Engineering, Evaluation
San Francisco, California, United States
OnsiteFull Time
Causal Labs: Building physics-based causal AI models for predictive weather intelligence.
Experienced software/research engineer to build evaluation pipelines, benchmarks, metrics, and dashboards; strong statistics and full‑stack engineering skills; ability to partner with research teams.