Lightfield Logo

Lightfield

Software Engineer, Agentic Pipeline Generation (Staff+)

Posted 25 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
220K-300K Annually
Senior level
In-Office
San Francisco, CA, USA
220K-300K Annually
Senior level
Lead end-to-end engineering projects for AI-powered pipeline generation, including business data ingestion, enrichment, prospect discovery, agentic workflows, automated outreach, and customer-facing experiences. Design scalable, observable systems, mentor engineers, shape product direction, collaborate with customers, establish engineering practices, and contribute to recruiting and team development.
The summary above was generated by AI
About Lightfield

Lightfield is reimagining CRM as a world model of a business. By learning from emails, meetings, and customer conversations, we’re building a living understanding of how a company works—so AI can help teams anticipate what comes next, make better decisions, and take action.

More than 5,000 companies have used the product since its November launch. We’ve raised more than $70M from Andreessen Horowitz, Coatue, Maverick Ventures, and Greylock to attack the biggest software category in the world. We previously built Tome, which reached more than 25 million users, and our team brings experience from Llama, Instagram, Google, and Salesforce.

About the role

We're looking for an experienced engineer to build the next generation of intelligent pipeline generation, combining rich business data, AI agents, and powerful automation to help companies discover and engage new customers.

You'll tackle ambitious challenges across company and people intelligence, data enrichment, buying signals, prospect discovery, and automated outreach. The opportunity spans sophisticated data models, large-scale processing, intelligent agents, and customer-facing product experiences.

At Lightfield, engineers lead product development. They work directly with customers, identify important problems, shape solutions, and take end-to-end ownership of projects from inception to impact.

You'll help shape product direction, lead substantial engineering projects, and take responsibility for delivering exceptional results through hands-on leadership.

What you'll do
  • Lead ambitious projects that help businesses discover opportunities, identify prospective customers, and take action through intelligent, automated workflows.

  • Build systems that ingest, enrich, and connect information about companies, people, and their relationships from diverse sources.

  • Develop intelligent prospecting capabilities that combine rich business context, behavioral signals, and AI-driven research to identify promising opportunities.

  • Build agentic workflows that automate complex, multi-step processes, from research and list building to personalized engagement and follow-up.

  • Design sophisticated customer-facing experiences that make powerful data and AI capabilities intuitive and easy to use.

  • Build reliable, scalable, high-performance systems with strong observability, metrics, and operational practices.

  • Lead technical design, mentor other engineers, and help establish engineering best practices.

  • Contribute to building a world-class engineering team through recruiting and knowledge-sharing.

Who you are
  • You have 7+ years of experience building and shipping software products, with strong full-stack engineering skills.

  • You have strong product judgment and can turn ambiguous customer problems into thoughtful, effective solutions.

  • You're a rigorous, analytical thinker who can break down complex problems, form hypotheses, and use data to evaluate solutions.

  • You're a hands-on technical leader who can independently scope, plan, and drive substantial projects while bringing other engineers along.

  • You care deeply about engineering craft, with high standards for reliability, performance, maintainability, and product quality.

  • You're excited about LLMs and the opportunity to build new kinds of intelligent systems and product experiences.

  • You have strong software engineering fundamentals, developed through a Computer Science degree, related education, or equivalent industry experience.

  • You can ramp quickly on a stack that includes TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL.

  • You communicate clearly and can explain product and technical decisions to both technical and non-technical teammates.

  • You're passionate about building products customers love and making Lightfield intuitive, intelligent, and indispensable.

Benefits & Perks
  • Competitive salary

  • Meaningful early equity

  • Health insurance (medical, dental, vision)

  • 3 weeks of PTO

  • 11 paid company holidays + we enjoy a winter holiday break

  • 3 months of paid family leave

  • Wednesdays work from home

  • Regular team dinners, events, offsites, and retreats

  • 401k plan

  • Other perks include: commuter and lunch stipend

HQ

Lightfield San Francisco, California, USA Office

600 Townsend St, San Francisco, CA , United States, 94103

Similar Jobs

6 Minutes Ago
Easy Apply
Hybrid
San Francisco, CA, USA
Easy Apply
114K-192K Annually
Mid level
114K-192K Annually
Mid level
Marketing Tech • Mobile • Software
Drive customer adoption of BrazeAI by leading workshops, diagnostics, and accelerators from AI use-case ideation through launch and impact measurement. Advise technical and marketing stakeholders, identify adoption barriers, develop AI playbooks and prototypes, recommend services partners, and provide AI thought leadership. The role combines customer-facing consulting, marketing technology expertise, applied AI knowledge, and cross-functional collaboration, with travel up to 25% at peak times.
Top Skills: Agent ConsoleAi AgentsAPIsBrazeBrazeaiCanvasCatalogsContent BlocksDecisioning StudioGenerative AiLiquidLlmsMcpOperatorPrompt DesignSQL
9 Minutes Ago
Remote or Hybrid
USA
95K-120K Annually
Mid level
95K-120K Annually
Mid level
eCommerce • Fintech • Food • Mobile • Social Impact
Implement and optimize cross-channel marketing campaigns using Braze and data warehouse integrations. Build complex journey flows, dynamic templates (Liquid), audience segmentation, and QA campaigns. Collaborate with marketing and engineering to validate data, ensure compliance (SMS/email), and scale personalized lifecycle messaging.
Top Skills: BigQueryBrazeEvent StreamingIterableKlaviyoLiquidRedshiftRest ApiShopifySnowflakeSQL
18 Minutes Ago
In-Office
San Francisco, CA, USA
150K-200K Annually
Mid level
150K-200K Annually
Mid level
Fintech • Information Technology • Financial Services
Provides technical ETF expertise, investment analysis, and customized portfolio insights to financial advisors, institutional investors, sales teams, and distribution partners. Supports due diligence, RFPs, client presentations, product commercialization, and ETF product development. The role requires strong investment management knowledge, analytical skills using market-data platforms, client-facing communication, and Series 7 and 63 licenses within 90 days.
Top Skills: BloombergEtfsFactsetMorningstar Direct

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account