Senior Director of AI Engineering, Salesforce
$263.2-401.4k
+ ESPP
World's leading CRM provider
Job no longer available
World's leading CRM provider
1001+ employees
Job no longer available
$263.2-401.4k
+ ESPP
1001+ employees
Company mission
To empower companies to connect with their customers in a whole new way.
Role
Who you are
- 15+ years of engineering experience, with 7+ years leading platform or infrastructure teams in ML, data, or AI-heavy environments
- A master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or equivalent industry experience
- Proven experience with ML and platform infrastructure, including Kubernetes-based systems, CI/CD, distributed systems, and observability stacks (metrics, logs, tracing)
- Expertise in generative AI, ML algorithms, and frameworks such as Hugging Face, Tensorflow, PyTorch, etc
- Experience with cloud platforms (e.g., AWS, GCP) and distributed computing frameworks (e.g., Spark, Hadoop)
- Hands-on familiarity with experimentation frameworks, such as A/B testing, canaries, and shadow deployments, and integrating experiments into ML/agent pipelines
- Experience building evaluation systems for models and agents, including offline tests, regression suites, online monitoring, and LLM-as-a-Judge–style approaches
- Strong background in AI agents and LLM systems, including tool use, multi-step workflows, RAG, prompt and policy management, and common agent failure modes
- Experience with data and ML platforms (e.g., Snowflake-centric workflows, feature stores, training pipelines)
What the job involves
- Salesforce’s AI Foundations team is foundational to enabling both traditional machine learning applications and AI agents at enterprise scale
- This team empowers the Digital Enterprise Technology organization to build, deploy, evaluate, and operate trusted AI systems in days instead of months
- As Senior Director of Engineering, you will provide unified technical leadership across the AI foundations platform stack—spanning ML infrastructure, agent lifecycle management, evaluation, observability, and governance
- You will drive interoperability across platform components, operationalize a data mesh–oriented architecture, and ensure the platform delivers high reliability, strong security, and cost-efficient scalability
- This role is central to aligning platform capabilities with strategic business priorities, enabling safe and rapid adoption of generative AI and predictive AI across the enterprise
- Lead the engineering of AI Foundations team that enables teams to build, deploy, evaluate, experiment on, monitor, and govern AI agents and ML models safely and at enterprise scale
- Own three core platform areas
- ML Platform & Developer Productivity (training, inference, environments, cost/perf)
- Model & Agent Lifecycle & Governance (CI/CD, registries, lineage, access control)
- Agent Observability, Evaluation & Reliability (quality, drift, experimentation)
- Make agent evaluation and experimentation default platform capabilities, ensuring every production agent and model ships with:
- Offline evaluation (golden scenarios, regression suites)
- Pre-deployment quality gates in CI/CD
- Controlled experimentation (A/B tests, canaries, shadow traffic)
- Continuous post-deployment monitoring
- Drive end-to-end observability across data pipelines, retrieval, model inference, tool execution, and agent outcomes, with clear SLIs/SLOs for quality, latency, reliability, and cost
- Standardize ML and agent development workflows, reducing time-to-production and eliminating bespoke infrastructure across teams
- Partner cross-functionally with Applied AI, Data Science, Product, Security, Legal, and Responsible AI to translate business and regulatory requirements into enforceable engineering systems
- Build and lead a high-performing organization of engineering managers and senior engineers, setting a strong technical bar and culture of operational excellence
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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