Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
The team
GTM Engineering builds the tools that help our Sales and Customer Success teams win more deals, grow accounts and keep customers. The aim is tools that make a real difference to pipeline, win rate and retention, and give reps more time with customers.
To do that, we join data most GTM tools never see: how customers use the product, what was said on every sales call, how Fin performs for each customer, and everything in the CRM. On top of that we build agents and models that tell reps which accounts need attention, prepare them for calls, flag buying and churn signals, explain why deals are won and lost, and draft research and outreach.
The role
We're looking for a GTM Engineer to own a business problem from start to finish. You'll start with a commercial question or problem, you'll work out with reps and leaders whether it's worth solving and what success looks like. Then you'll build the data, the agent and the product, and get it into the daily routine of the people it's for.
Once it's live, you'll own making it better. You'll understand how it behaves in production, find where it fails, improve how it decides or acts, and work out whether it's making a difference. That includes deciding when something isn't working and should stop.
What you'll do
Build and ship AI agents and LLM-powered tools for Sales and Success, such as account research, call prep, post-call follow-up, renewal risk and pipeline review.
Own the full stack: Python backends and APIs, data models in Snowflake, feedback pipelines, and React frontends where a tool needs one.
Instrument what you build. Trace agent actions, tool calls, failures and the edits reps make to agent output, so you can see where quality breaks down.
Set the quality bar with the people who use the tools. Build evaluation sets, grade output with human and model graders, and run regression tests and production monitoring.
Diagnose weak results across context, data, tools, prompts and workflow design. Test the fix on replays of past traffic before it ships.
Decide what an agent can do on its own and where a rep reviews its work first, and build the guardrails and review steps to match.
Measure adoption and business impact on conversion, win rate, cycle time and retention. Use experiments and staged rollouts where you can.
Get tools into teams' hands. Write the playbook, run the enablement session, and work with sales leaders so the tool becomes part of how their team works.
What you bring
4+ years building production software, applied AI systems or data products.
You've built LLM-powered applications or agents that real users rely on.
You've improved an AI system after launch using traces, user feedback, evals or experiments.
Hands-on evaluation experience, such as building regression tests and grading output with humans or models.
Strong Python and SQL. You're comfortable designing APIs and data models.
You can measure impact with rigour and tell whether a metric moved because of your change.
Product judgment. You can sit with a sales rep, work out what they need, and decide what to build first.
You use AI coding tools heavily and know how to get reliable work out of them.
Nice to have
Experience with GTM systems such as Salesforce, Gong or Outreach.
dbt, Airflow or other data orchestration tools.
Agent evaluation or observability tools.
Time spent in, or building for, a sales, CS or revenue operations team.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
