AI Product Engineer, Lightfield
$180-250k
Plus equity
AI-native natural language CRM
Job no longer available
AI-native natural language CRM
21-100 employees
Job no longer available
$180-250k
Plus equity
21-100 employees
Company mission
To help founders build better businesses.
Role
Who you are
- We’re looking for a driven, creative engineer who is excited about the challenge of leveraging LLMs to build exceptionally innovative product experiences
- You have 2+ years of experience in software development, with the ability to ramp quickly on tech stack that features TypeScript, React, Next.js, Node.js, Apollo GraphQL, and Aurora PostgreSQL
- You have explored working with LLMs, either through professional projects or personal experimentation
- You have a degree in Computer Science or a related field, with a strong foundation in software engineering principles
- You are familiar with AI and ML concepts (e.g. training, evaluation techniques)
- You are passionate about keeping up with and exploring the latest advancements in LLMs and LLMOps (including open source solutions, e.g. LangChain)
- You are excited to develop new best practices in an emerging domain
- You can drive a project with an ambiguous problem independently
- You enjoy strategically balancing ambitious vision with frequent delivery of user value
- You are able to clearly communicate your reasoning and decisions to your teammates (technical and nontechnical) at an appropriate altitude of detail
- You are energized by building software experiences customers will use directly and depend on to do their jobs successfully
What the job involves
- You’ll join us at the frontier of AI product development, developing industry-leading approaches to solve important customer problems
- Engineers at Tome own and drive projects from inception to impact, working with teammates of all functions along the way
- You’ll also push our company’s overall product and technical vision as we learn from each project and continue to scale
- Collaborate with product leaders to identify customer problems, scope requirements, and implement LLM-powered solutions
- Apply LLMs as reasoning engines to build domain-specific AI assistants
- Create and enhance prompts, applying techniques like few-shot training and chain-of-thought
- Develop and optimize end-to-end RAG pipelines and agent architectures to leverage public and proprietary data
- Improve end-to-end AI agent quality (e.g. relevance, fidelity, latency) via empirical evaluation and iteration
- Build and enhance systems and tools that enable high-velocity experimentation (e.g. LLM-powered automated evaluation) and customized product experiences
- Stay at the forefront of AI research and incorporate state-of-the-art techniques
- Shape technical direction and best practices for AI application development at Tome
- Help build a world-class engineering team by recruiting and mentoring teammates
Our take
A major pitfall of CRM systems is the amount of admin required to maintain them. Follow up drafting, note logging and field updating mean that customers are always playing catch up to maintain the very system built to keep them on top of their customer relationships. Lightfield was designed to do this work itself, utilising AI-native automation to build a picture of your customer base.
Lightfield’s AI agents can contextualise customer interactions and use this to develop unique sales pipelines and meeting preparation, meaning that its users do less admin and close more deals. Tools on the Lightfield platform include a pipeline generation tool for time-strapped start-ups, a sales assistant for meeting memos and log updating and data capture for self-updating CRMs. All this speaks to a product that speaks to a culture of bogged-down, high-growth companies lacking the time to manage their growing client base.
Spun out from the co-founders' previous pitch-presentation company Tome, Lightfield released a migration tool in 2026, further incentivising businesses to take up its platform. With plenty of experience from its founding team, Lightfield is itself on the right track for high growth.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Feb 2023
$43m
SERIES B
Mar 2022
$32.3m
LATE VC
Total funding: $107.6m
Company benefits
- 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
Company HQ
SoMa, San Francisco, CA
Leadership
Henri Liriani
(Co-Founder)Previously served as Head of Product (Messenger Human Interfaces) for Facebook. Co-founded Craaave.
Keith Peiris
(Co-Founder & CEO)Previously acted as Head of Product for Citizen, as Messaging & Camera AR Product Lead for Instagram, and as Manager of Product Management for Facebook.
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