Product Engineer, Pocus
Applied Artificial Intelligence
$120-240k
+ Equity
AI sales intelligence platform
Open for applications
AI sales intelligence platform
21-100 employees
Open for applications
$120-240k
+ Equity
21-100 employees
Company mission
To help modern GTM teams hit their revenue goals reliably, create repeatability, and future-proof their motion with the help of data, AI, and automation.
Role
Who you are
- Ideal teammates thrive with autonomy, ambiguity, and high impact
- Have 3+ years of experience building production-ready distributed systems and 1+ years of experience with production grade AI applications
- Have worked with data-rich systems and are comfortable reasoning across messy and fragmented datasets
- Are excited by LLMs, tool-use, and applied reasoning, and have built or experimented with intelligent agent workflows
- Have a strong bias for action, and enjoy collaborating in small, nimble teams
- Think in systems, debug across stacks, and don’t hesitate to dive deep when needed
- Hold a high bar for simplicity, reliability, and product-minded engineering
- Regularly use tools like Copilot, Cursor, GPTs, etc. to boost productivity and explore new ideas
What the job involves
- As an Applied AI Engineer, you’ll work at the intersection of cutting-edge AI and robust systems, helping to design and build intelligent agents that deeply understand data and drive workflows end-to-end
- You’ll help scale the AI infrastructure that powers our entire product experience. Our stack is built on AWS, with services written in TypeScript and connected through GraphQL
- We leverage tools like Clickhouse, Presto, Temporal, and large language models (LLMs) as core building blocks—and default to managed services wherever possible to keep velocity high
- Build agentic AI systems end-to-end: Architect and implement intelligent agents that extract insights from fragmented data sources and power real-world workflows
- Engineer an extensible AI platform: This includes:
- A flexible data ingestion layer that connects to warehouses, databases, CRMs, public datasets, and crawlers
- A semantic enrichment and transformation engine, leveraging LLMs and tool-use to reason about and contextualize data
- A query engine that enables low-latency filtering and aggregation of enriched entities
- A workflow orchestration layer that lets users trigger actions in tools like Slack, Outreach, and CRMs via APIs or webhooks
- Prototype, iterate, and ship quickly: You'll have deep autonomy to test ideas, own systems, and ship features that impact customers directly
- Prioritize security and reliability: Handle sensitive customer data with best-in-class security practices and a strong foundation of reliability
- Elevate the engineering bar: We value clean abstractions, fast feedback loops, thoughtful testing, and excellent developer tooling
Our take
Pocus is part of a new wave of startups rethinking how sales teams actually work. Founded in 2021, the company is focused on solving a common problem in modern sales: reps are overwhelmed with data, tools and signals, but often lack clear direction on what to do next. So, rather than adding yet another tool to the stack, Pocus aims to act more like a decision-making layer that helps teams prioritize their time and effort more effectively.
Simply put, its an AI sales intelligence platform designed for go-to-market and revenue teams. It pulls together data from across a company's systems (think CRM, product usages, and external signals) and uses AI to identify the best opportunities and recommend specific actions. Instead of manually researching accounts or guessing who to contact, reps are guided toward the right prosects, messaging and next steps each day. The goal is to reduce time spent on admin and prospecting, and instead focus on actually closing deals.
This approach has gained the company some serious traction too. Companies like Monday.com, Canva, and LaunchDarkly all use Pocus to generate a significant share of their sales pipeline, with reps reportedly saving over 10 hours a week and producing more consistent results. As AI becomes more embedded in sales workflows, Pocus is bettering that the future isn't just better data, but clearer guidance.
Freddie
Company Specialist at Welcome to the Jungle
Company
Company benefits
- Health Insurance: We offer competitive medical, dental, vision insurance for employees and dependents
- Unlimited Vacation: We offer unlimited paid vacation and require you take at least two weeks off (we work hard, but don’t want you to burn out)
- Retirement Savings: Easy contributions to your 401K
- Parental Leave: We offer paid parental leave to spend quality time with your new additions
- Wellness Stipend: Taking care of your mental and physical health means you show up to work as your best self. We offer a monthly stipend and you choose what to invest in - gym membership, counselor, or chiropractor. You decide
- Company Offsites: Although we're remote we truly believe that every team needs in person time to collaborate
- Suprise Perks: Whether it's a stipend for a home office set up or the occasional meal on Pocus, we're always looking for ways to say thank you to our amazing team
Company HQ
The Castro, San Francisco, CA
Leadership
Alexa Grabell
(Co-Founder & CEO)Alongside Pocus, Alexa is the Founder of The 21 Fund where she serves as the General Partner. Previously, she worked at Monte Carlo as an MBA Intern and at Dataminr in various Operations roles.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 10 more jobs at Pocus