Senior Director of Enterprise AI Platform Engineering, SentinelOne
$198.8-298k
+ Restricted Stock Units & Employee Stock Purchase Plan
AI-powered enterprise cybersecurity platform
Be an early applicant
AI-powered enterprise cybersecurity platform
1001+ employees
Be an early applicant
$198.8-298k
+ Restricted Stock Units & Employee Stock Purchase Plan
1001+ employees
Company mission
To give the advantage to those who secure our future.
Role
Who you are
- We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts
- Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes
- You have built at least one production platform — AI or otherwise — that enforced centralized policy across multiple consumers: auth/AuthN/Z, rate limiting, observability, and audit logging. Bonus if that platform touched AI specifically (LLM gateway, model routing, or orchestration), but strong candidates from API platform, data platform, or developer platform backgrounds are equally welcome. What matters is that you can describe what you built, the tradeoffs you made, and what you'd do differently
- Hands-on depth in agent orchestration (LangGraph or equivalent), including experience routing to hosted model providers such as AWS Bedrock and Google Vertex. You understand how context windows, memory, and tool-calling actually work — not just conceptually
- Demonstrated experience designing and implementing an AI gateway — centralized auth, rate limiting, DLP, observability, and audit logging across multiple model providers. Hands-on experience with Kong AI Gateway specifically is a plus
- You have experience building or owning a model evaluation framework — not just running benchmarks, but closing the loop: using eval results to drive model selection, prompt tuning, and routing decisions
- Familiarity with the Model Context Protocol (MCP) and practical experience governing tool access for agents operating across enterprise systems in a secure way
- Hands-on familiarity with enterprise AI deployments — specifically Claude Enterprise (Anthropic) and Gemini Enterprise — including how they are administered, how access and policy controls work, and how they connect to a broader governed AI architecture
- Strong software engineering background — you can write and review production code, understand API design, and hold a high technical bar with your team. Our current stack includes Python 3.11+ with FastAPI, React 18+ with TypeScript, and pydantic.ai for LLM-powered components; we expect this leader to be comfortable working in that stack and to evaluate, evolve, and own those standards going forward
- Demonstrated ability to collaborate across organizational boundaries — this role operates in tight partnership with Enterprise Apps, Data, Product Development, and Infosec teams. You have a track record of building shared architectural contracts
- Experience evaluating and selecting between build, buy, and assemble options at the layer level — including vendor assessment, total cost of ownership modeling, and the discipline to not over-engineer where mature open-source or commercial components already exist
- 7+ years of software engineering experience, with at least 3 years in an engineering leadership role and at least 1 year leading a team building AI or ML infrastructure in a production enterprise environment
What the job involves
- As Sr. Director, AI Enterprise Platform Engineering, you will build the AI foundation that every internal AI use case runs on top of
- The platform you create will be the control plane through which all AI activity at SentinelOne is governed, observed, secured, and scaled — serving both custom-developed AI applications built by SentinelOne engineering teams and vendor-deployed AI solutions such as Claude Enterprise and Gemini Enterprise
- Own and execute the roadmap for SentinelOne's enterprise AI platform — the Gateway, Harness, and Semantic Layers — moving us from direct-to-LLM connections to a governed, multi-model control plane
- Design and build the AI Gateway layer: centralized identity and AuthN/Z, token budgeting, DLP and content guardrails, multi-model routing and failover, MCP allow-listing, and a full audit trail across every AI request
- Build and operate the Harness layer: agent orchestration (LangGraph or equivalent), prompt construction and context management, memory and state across multi-turn interactions, model abstraction across Anthropic, OpenAI, Google, and others via providers such as AWS Bedrock and Vertex, and MCP/tool wiring for internal and SaaS-embedded agents
- Own the technical roadmap for SentinelOne's Claude & Gemini Enterprise plugin framework — a growing library of role-based skills and agents that surface AI capabilities to employees in the context of their specific roles. This includes expanding coverage across more roles and use cases, maturing the way plugins are securely authored, tested, and deployed, and continuously improving the quality and reliability of each plugin's outputs
- Partner closely with Enterprise Data, Enterprise Apps, Product Development, and Infosec to connect the platform to governed data sources, align on security controls, and ensure every integration is built on shared architectural contracts
- Govern how agents — whether user-instantiated in Anthropic, Google, or OpenAI products, engineered by SentinelOne teams, embedded in SaaS platforms, or arriving from external partners — interact with our systems, ensuring every caller passes through the same policy controls regardless of origin
- Hire, mentor, and technically lead a team of engineers; set standards, review architecture decisions, and create an environment where strong engineers do their best work
- Communicate platform status, architecture decisions, and risk posture clearly to executive stakeholders
Our take
Cybercriminals are now leveraging the power of automation to make the current threat landscape too advanced for a lot of traditional antivirus software. SentinelOne is a cybersecurity company that matches this automation with machine learning-focused software designed to help businesses defend against online attacks.
The company has expanded beyond endpoint security into a broader AI-powered cybersecurity platform spanning endpoint, cloud, identity, and IT operations. This gives SentinelOne access to a larger enterprise market, although it also it also places the company in direct competitions with established cybersecurity leaders, including its biggest rival, CrowdStrike.
As cyberattacks become increasingly automated, the company is expanding its capabilities beyond detection to include AI-driven threat response, helping security teams contain attacks more quickly. While it still trails larger rival CrowdStrike in scale, SentinelOne is investing in platform expansion and automation to compete for enterprises looking to consolidate their cybersecurity into a single solution.
Steph
Company Specialist at Welcome to the Jungle
Insights
61% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Feb 2021
$100m
LATE VC
Nov 2020
$267m
LATE VC
Total funding: $799.3m
Company benefits
- Medical, dental, and vision coverage
- Employee assistance program
- Gym reimbursement
- Incentive-based challenges
- Mental health and mindfulness
- Unlimited Time Off
- Grandparent Leave
- Volunteer Time Off
- Paid Sick Time
- Paid Holidays
- 16 weeks Gender-Neutral Parental Leave
- Restricted Stock Unit Program
- Flexible Spending Accounts
- Life Insurance
- Short and Long Term Disability Insurance
- Team building activities
- Celebrations and social gatherings
- Community volunteering events
- Global all hands and local town hall events
- 401K
Company HQ
Old Mountain View, Mountain View, CA
Leadership
Tomer Weingarten
(Co-Founder & CEO)Tomer began their career in Software Development at Mckit Systems prior to co-founding dPolls and Carambola Media. They left their position as VP of Products at Toluna in December 2012 to found SentinelOne in January 2013, where they have served as the CEO since.
Sonalee Parekh
(CFO)Prior to joining SentinelOne in 2026, Sonalee was the CFO at Asana and RingCentral. They also held senior roles at Hewlett Packard Enterprise, Jefferies, RBC Capital, Markets, Barclays Capital and Goldman Sachs.
Barry Padgett
(COO & President)Barry joined SentinelOne in 2025 as CGO before briefly serving as the CFO then moving into their current role as COO. Previously they spent 4 years at Amperity as COO and CEO and 1 year at Stripe as CRO.
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