Principal Software Engineer, Salesforce
Data Scientist, AI
$197.3-344.7k
Salary is partially dependent on location
World's leading CRM provider
Be an early applicant
World's leading CRM provider
1001+ employees
Be an early applicant
$197.3-344.7k
Salary is partially dependent on location
1001+ employees
Company mission
To empower companies to connect with their customers in a whole new way.
Role
Who you are
- Hands-on experience building and shipping full-stack, full-lifecycle agentic AI systems in production – LLM orchestration, tool and MCP integration, retrieval and knowledge grounding, and evaluation.
- Strong programming in Python and Java in a Unix/Linux environment; solid grasp of distributed systems.
- Judgment about what makes agents reliable at scale: grounding, evaluation, and guardrails against the failure modes – hallucination, context drift, wrong remediation – that cause incidents.
- Familiarity with the modern data and agent stack a plus: tracing and experiment tracking (e.g. MLflow), workflow orchestration (e.g. Airflow), distributed query engines (e.g. Trino), knowledge graphs, and model-agnostic gateways across frontier models.
- Track record of shipping and operating production software at scale, with a bias for hands-on delivery over specification.
- Experience building automation for root-cause analysis and self-remediation of production systems is a strong plus.
- Strong written and verbal communication; able to drive AI discussions across engineering teams and influence without authority.
- Background and experience in Data Science highly desirable
- You should have 10+ years of professional experience. Experience with large-scale distributed databases or multi-tenant SaaS architectures is a strong plus
What the job involves
- The SDB AI team builds the foundation that makes agentic engineering on Salesforce Database safe, correct, and reusable across the org. Salesforce Database is the multi-tenant production database behind Salesforce's cloud platform no general-purpose model knows. We encode that database-specific knowledge, prove that agents acting on it behave correctly, and take agentic work all the way to production
- You will own the design and hands-on implementation of the agentic AI foundation for database engineering and operations: full-stack, full-life-cycle agentic engineering and workflow automation, knowledge graphs and agentic memory, and unified agentic evaluation with data curation
- Build the agentic memory the agents reason over – the knowledge and context graphs that hold the database schema, runbooks, query templates and escalation-policy – and keep it accurate as the database evolves.
- Build closed-loop evaluation as infrastructure: local tracing, replay and golden-trace regression, PR-gating, and scoring against domain-grounded rubrics – proving not only that output is correct but that the execution path is.
- Advance the production agent from workflow-shaped to agent-shaped: a dynamic, causal planner and the specialized tools database workflows need beyond off-the-shelf MCP.
- Take agentic work all the way to production – through the platform, identity, and integration layers where the real bottleneck lives – and operate it at machine speed across hundreds of incidents a week with high-accuracy root-cause analysis, capacity planning, and early detection of anomalous events – with high-accuracy outcomes.
- Build the guardrails and telemetry that keep agents grounded: context-drift detection, activation instrumentation, and failure-mode analysis.
- Partner with database engineering teams to turn one team's pattern into every team's starting point – paved paths, deduplication, and quality gating that convert org-scale sprawl into one trustworthy library
Our take
Salesforce is a global cloud computing company, best known for its on-demand, comprehensive customer relationship management (CRM) solutions. The company was launched to mitigate the doubts that business owners felt regarding third party companies holding their data.
By providing essential, customer-oriented CRM software, Salesforce places itself at the heart of digitised businesses. Furthermore, by building out its AI capabilities, the company removes the complexity of AI, enabling any business to deliver smarter, personalised and more predictive customer experiences.
Due to the continued innovation offered by the company, over 150,000 companies, both big and small, are growing their business with Salesforce today. Despite a tumultuous 2023 filled with activist investors, a boardroom shake-up and the unprecedented step-down of Co-CEO Bret Taylor, Salesforce continues to close several acquisition deals and managed to drive up its stock value by 96% from the end of 2022 to 2023.
Steph
Company Specialist at Welcome to the Jungle
Insights
-8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2001
$46.9m
SERIES D
Nov 1999
$13.2m
SERIES C
Total funding: $64.5m
Company benefits
- With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year
Company HQ
SoMa, San Francisco, CA
Leadership
Marc Benioff
(Chair & CEO)Previously Senior Vice President at Oracle Corporation for 13 years.
Parker Harris
(CTO)Previously worked as a Software Engineer for over six years. Harris also co-founded Left Coast Software.
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