Descripción de la oferta
Built to tackle the time-consuming, manual work that gets in the way of real work, our tools automate everything from travel bookings to expenses, invoice processing, and more. By eliminating this shadow work that wastes hours, erodes morale, and saps innovation, we're on a mission to power real work, with real impact.
Founded in 2015, Perk has grown into a global company of more than 1,800 people across 12 offices globally, with headquarters in London and Boston. The Revenue Systems team sits at the centre of this, responsible for the systems, data, and agents that power how Sales and GTM operate.
The AI Revenue Systems Analyst is a senior individual contributor and the technical authority on agentic AI within Revenue Systems. Where the GTM Engineering function owns Clay-based outbound and enrichment infrastructure, the AI Systems Specialist owns the agent layer: the Python‑backed workflows, API integrations, and reusable frameworks that let the team ship AI automation faster and more reliably over time.
It is a reusable agent framework that the broader Revenue Systems and GTM Engineering team builds on top of. That means strong engineering instincts alongside strong business judgment: knowing which problems are worth automating, how to build systems that do not break quietly, and how to make your work accessible to non‑engineers who depend on it.
The role reports to the Senior Manager, Revenue Systems, and works closely with the GTM Engineering team and Sales leadership. It is a highly visible role with a direct line of sight to commercial outcomes.
For this role specifically, working with AI is not a part of the job—it is the job. We will expect you to have strong opinions on where LLMs are actually useful today versus where they are unreliable, how to build systems that behave predictably in production, and where human judgment still beats automation. We will ask about how you use AI and how you build with it in your interviews, not to test tool knowledge, but to understand how you think.
Design, build, and maintain multi‑step AI agents using Python and LLM APIs (Claude, OpenAI) that automate research, qualification, routing, and decision‑making across the revenue stack.
Architect agent systems that are robust in production: with clear error handling, observability, and graceful degradation when upstream data or APIs misbehave.
Data Pipelines & Systems Integration
Build and maintain data pipelines that connect Salesforce, outbound tools, enrichment providers, and internal systems, ensuring the clean, timely data that agents depend on is always available.
Engineer API integrations, webhook‑driven triggers, and event‑based flows using Python, Make, and equivalent automation tooling without requiring engineering support for each new connection.
Own the data layer that underpins AI decision‑making: designing schemas, maintaining data quality, and building monitoring logic that catches issues before they reach Sales.
Integrate with Salesforce at depth, including custom objects, flows, and automation, to ensure agent outputs are reflected accurately in the CRM and available to downstream reporting.
Partner with GTM leadership to identify where manual effort can be replaced by intelligent automation, from account research and signal triage to follow‑up sequencing and CRM hygiene.
Set and maintain engineering standards for how AI systems are built within Revenue Systems: version control practices, documentation, testing patterns, and deployment hygiene.
Provide clear feedback to inform roadmap prioritisation, surfacing where automation is working, where it is brittle, and where human judgment still beats a model.
5+ years in a technical role building production systems, whether GTM Engineering, Revenue Systems, or software engineering with strong GTM exposure in a B2B SaaS environment.
~ Hands‑on experience building multi‑step AI agents using Python and LLM APIs (Claude, OpenAI, or equivalent) in a production context—beyond prompt experimentation: deployed systems with real dependencies and users.
~ Strong Python engineering fundamentals. Direct experience integrating APIs, webhooks, and event‑driven flows using automation tooling (Make, n8n, Zapier, or equivalent) alongside custom Python solutions.
~ Salesforce proficiency at the configuration layer: custom objects, flows, reporting, and data integrity logic.
~ Familiarity with the GTM tooling landscape, including Clay, Outreach, Gong, and Apollo, and how to connect agent outputs into that stack effectively.
Exposure to conversation intelligence platforms (Gong or equivalent) and using call data as an input to automated workflows.
Experience working in a high‑growth SaaS environment where the stack is evolving and priorities shift quickly.
Prior work on signal‑based systems using hiring data, funding triggers, intent signals, or similar event streams as inputs to automated decision‑making.
Rest and recharge with our generous allocation of vacation days plus public holidays.
Always feel supported with Spring Health, our market‑leading wellbeing partner, providing fast, comprehensive access to 12x therapy and 12x coaching sessions for you and your loved ones.
Nurture your language skills with in real‑life English, Spanish and Catalan lessons.
Let us help you move to one of our hubs with relocation support.
In practice, that means using AI to research and prioritise accounts, draft and refine outreach, handle customer interactions more effectively, synthesise information, and cut through shadow work - the invisible tasks that pull people away from the work only they can do - so you can focus on relationships and outcomes.
At Perk, we take an IRL‑first approach to work, where our team works together in‑person 3 days a week. For certain roles, we can help with relocation from anywhere in the world, English is the official language at the office. Please submit your resume in English if you choose to apply. Perk is a global company with a diverse customer base, and we want to make sure the people behind our product reflect that.
