
Build pipeline and close more revenue, consistently. Transform rep workflows from siloed to streamlined with AI-powered prospecting, research, and playbook optimization. Pocus helps you run the right…

Build pipeline and close more revenue, consistently. Transform rep workflows from siloed to streamlined with AI-powered prospecting, research, and playbook optimization. Pocus helps you run the right…
What they do: AI-driven revenue intelligence and sales/GTM workflow platform
Headquarters: San Francisco, California
Notable customers: Asana, Canva, Miro, Loom
Funding stage signal: Series A (lead: Coatue)
Employee count (reported): 52
GTM data silos and signal prioritization for sales/revenue teams
2021
Software Development
Crunchbase lists ~24 investors for the round; amount obfuscated in that entry
“Backed by multiple investors including Coatue, Tristan Handy, and MKT1 Capital”
Pocus exists to supercharge GTM teams. We make every rep a 10x seller. With Pocus, organizations can have fewer, better reps to drive increased pipeline and revenue.
How? We’ve created the world’s most powerful, AI-native prospecting platform.
Pocus influences nearly half a billion in pipeline per quarter for our customers. We’re trusted by high growth companies like Asana, Monday, Canva, and Miro where Pocus powers up to 50% of their pipeline and eliminates 10+ hrs of work per rep per week.
Pocus has hundreds of always-on AI agents doing the manual, tedious work of researching & prospecting so that reps can do what they do best: sell. With Pocus AI agents working for them, rep’s days are simplified. Reps get alerts when compelling events happen, account plans are generated by AI, and agents recommend who to reach out to with the next best action. We’re fortunate to be backed by First Round, Coatue, and execs like CEO Zoom, CPO Adobe, CRO OpenAI, who are helping us usher in this future of sales.
Our CS org has one goal: We transform GTM teams into best in class operators , creating repeatable top decile rep performance and GTM productivity . As a GTM Engineer, you’ll be taking your experience in GTM or Revenue Operations and translating that expertise across a dedicated group of customers with whom you’ll act as a technical expert to consult on, and build, their Pocus workspace, sales playbooks and workflows, providing best practices to turn data into revenue for the customer’s GTM team.
The Pocus team is full of humble overachievers that like to move quickly (we call it shiperate) , own our work, give customers superpowers, and create magic for our team… all while having a ton of fun. Join us on this next phase of growth!
Why this role
What You’ll Do
Who You Are As a small and early stage start-up, alignment on culture and values is our #1 priority. People that are successful at Pocus, regardless of role, strongly identify with the following:
As an ideal candidate, you have:
Perks and benefits:
At Pocus, we’re looking for people who are humble overachievers with an ownership mentality and a love for building. If this sounds like you, we encourage you to apply, even if your skills don’t perfectly match our job descriptions (especially if you’re making a career change or are insanely passionate about Product-Led Sales!). At Pocus, we welcome your diverse backgrounds and celebrate different perspectives that challenge the status quo. We will never discriminate on the basis of religion, color, gender identity, disability, marital status or any other characteristics protected by law.
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Lead customer POCs and full customer implementations, including workspace development, and workflows
Gather business requirements and objectives from customer stakeholders across Sales Leadership and Revenue Operations, and provide consultative guidance to build custom Pocus workspaces, playbooks and workflows that help our customers’ accomplish their highest priority go-to-market initiatives
Translate business requirements into data request for customer and lead playbook brainstorm sessions
Conduct data modeling in Pocus to surface relevant data for customer across their various 1st party data
Prescribe and setup initial playbooks by use case and business objectives as identified through your implementation discovery
Custom train AI models for each customer to support AI alerts and our relevancy layer
Recommend sales plays based on experience, customer type and maturity
Proactively review and update customers’ sales playbooks to ensure value maximization and alignment to shifting priorities
Data: identify workspaces with poor data quality and proactively set up time to review with customer
Review business performance of playbooks, providing strategic guidance on which playbooks to build, iterate or kill
Conduct iterations of workspace architecture and playbooks as new teams onboard
Bridge the gap between technical and non-technical stakeholders both internally and with customers
Support CSMs during implementation by providing a data-driven perspective on prospects’ and customers’ product-led-sales strategy
Drive accountability to action for the customer in the implementation process
Educate and transfer knowledge of Pocus architecture, data modeling and workflows to the customer’s technical admins to help them self sustain their Pocus workspace
Support the entire post-sales team by clearly documenting important context about each customer, their data model, and their workspace after initial implementation
Pass learnings and suggestions back to other internal teams as the technical voice of the customer
Partner with Product to provide feedback and ensure the product roadmap is informed by feedback from technical stakeholders across our customer base
Partner with Sales, and Customer Success to ensure a smooth handoff, paying particular attention to our customers’ data sources and making sure that the right technical stakeholders from our customers are involved for implementation
You’ve been in Revenue or Growth Operations. 3+ years of experience in sales or revenue operations, or relevant technical consulting
Proven technical experience with SQL, APIs and Python
A proven ability to quickly learn and familiarize yourself with new concepts in a self-directed way. Examples: A client’s business model or a raw sales or financial dataset.
A strong business acumen combined with an analytical skillset. You see beyond data and have fluency to know the right questions to ask of the data to gather business insight and create recommendations
Highly consultative experience. You have demonstrated capability to take vague business problems from senior leaders, run active discovery and prescribe technical solutions and plays
Excellent communication in all forms. You are comfortable adjusting your style and approach to communicate technical concepts with both technical and non-technical stakeholders.
Endless curiosity and excitement about solving ambiguous and unstructured problems using data for external customers.
High levels of organization in your workflows - you understand what it means to work on multiple projects simultaneously and are able to prioritize and manage your time efficiently.
Familiarity with (or excitement to learn) integrating data via technologies like Outreach, Snowflake, Salesforce, Hubspot, Gong
Deep understanding (or excitement to learn) common data structures, metrics, and raw data associated with B2B SaaS Salesforce implementations
Nice to have:
A Bachelor’s degree or equivalent experience in a quantitative field like economics, business, math, statistics, engineering, or the hard sciences.