Backed by leading Silicon Valley investors, Peregrine helps public safety organizations, state and local and governments, federal agencies, and private-sector institutions address society’s challenges with unprecedented speed and accuracy. Our AI-enabled platform turns siloed and disconnected data into operational intelligence — instantly surfacing mission-critical information to empower better, faster decisions that improve outcomes at every touchpoint. Today Peregrine supports hundreds of customers across 30+ states and two countries, serving more than 125 million people — and we’re amplifying our impact as we expand into the enterprise and internationally.
As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves.
We're looking for a Software Engineer to join Product Experiences, the team that builds the features our users work in every day across the Peregrine platform. You'll work cross-functionally with design and product management to ship experiences that are fast, intuitive, and trustworthy, turning enormous amounts of data into something an investigator or analyst can act on in seconds.
We value both ownership and collaboration. You will take full responsibility for major features and work closely with other engineers to drive them to completion. We believe that humility and empathy are essential for building the right solutions. You will collaborate directly with our deployment team and users as we iterate to solve their problems. Perseverance and creativity are crucial to executing our vision.
RoleWe are looking for strong product-minded developers to join our small but growing team. As a Software Engineer on Product Experiences, you'll have vast ownership across the capabilities that define how customers use the Peregrine platform, including Search, Dossier, Charts, Dashboards, Maps, Network, Table, Workspace, Docs, Automations, and Mobile, making decisions that will shape the product for years to come.
You'll take on some of our most visible challenges, like building search and semantic discovery that helps users find the right answer across billions of records, designing Dossier views that assemble a complete picture of an entity on demand, and crafting real-time, collaborative experiences on detailed maps and networks. You'll bring AI-powered capabilities to users where source transparency and trust are non-negotiable, and you'll obsess over the craft details such as latency, interaction design, and resilience that make complex workflows feel effortless.
Our stack is constantly evolving but built on a frontend of React, Redux, TypeScript, and Mapbox; a backend foundation of Python, Django, Celery, Airflow, and Kafka; data stores including PostgreSQL and Elasticsearch powering search and discovery; machine learning models hosted in Bedrock and Sagemaker behind our semantic and AI-assisted experiences; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.
About you- Desire and drive to own large portions of the user-facing platform from start to finish
- Passion for crafting and shipping product experiences that delight users
- A strong eye for interaction design and a partnership instinct with design and PM
- Thrive on ambiguity and love taking on hard problems
- Excellent technical vision with the ability to synthesize product requests into strong and reliable software components
- Degree in Computer Science or a related field, or equivalent experience
- 8+ years of experience working with cross-functional software development teams
- Experience shipping and iterating on production-grade, user-facing software professionally and / or in the open-source community
- Strong frontend fundamentals (React/TypeScript) and comfort working full-stack to ship a feature end to end
- Ability to write robust, well tested, and well-designed code that frequently gets deployed to users
- Solid understanding of architecting and scaling distributed software systems
- Strong best practices in modern software development and comfort navigating large codebases
- Located in San Francisco or Washington, D.C. and open to working in office 4 days a week
Salary Range: $200,000 - $275,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)
Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, certifications or licenses, and specific work location. Information on the benefits offered is here.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, certifications or licenses, and specific work location. Information on the benefits offered is here.
Peregrine Technologies is committed to creating an inclusive environment for all employees. We celebrate diversity and are a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
