AI Engineer, Distyl
Enterprise Lead
$180-250k
+ Equity
In office Tuesday–Thursday
3 days a week in office
Generative AI solutions for enterprises
Be an early applicant
Generative AI solutions for enterprises
101-200 employees
Be an early applicant
$180-250k
+ Equity
In office Tuesday–Thursday
3 days a week in office
101-200 employees
Company mission
To create the most customer-centric AI company that revolutionizes how enterprise thrive in the AI-assisted economy.
Role
Who you are
- 8+ years of software engineering experience, including experience leading technical teams through ambiguous, high-stakes production delivery
- Multi-team technical leadership. You have led technical execution across multiple teams, workstreams, accounts, or senior engineers. You know how to create clarity, set standards, develop leaders, and keep teams aligned without becoming a bottleneck
- Talent development. You raise the capability of the engineers around you. You can coach Tech Leads, senior ICs, and emerging leaders, and you know how to build a talent-dense engineering team over time. Prior people management experience is strongly preferred, but not required if you have demonstrated organizational leadership across multi-team engineering efforts
- Enterprise technical ownership. You take responsibility for whether complex technical deployments deliver durable customer value. You can reason across architecture, delivery risk, team capability, customer constraints, system behavior, and production operations
- Technical proximity and judgment. You can still reason deeply about production software. You understand architecture, debugging, testing, observability, performance, maintainability, security, and code quality. While you mostly operate through your teams, you are willing and able to do selective, high-leverage technical work when it materially improves outcomes
- Customer and executive judgment. You can operate effectively in high-trust, high-visibility customer environments. You communicate clearly with executives, IT leaders, data teams, and operational SMEs about system behavior, delivery tradeoffs, risks, and limitations
- AI-native working style. You use AI tools daily to write and debug code, explore designs, analyze data, automate repetitive work, and improve your own leverage. You are curious about new model capabilities and actively incorporate them into how you lead and build
- Willingness to travel. Travel is typically 20–40%, depending on the project, customer needs, and your role on the engagement
What the job involves
- AI Engineers, Enterprise Lead are senior technical leaders accountable for the technical success of Distyl’s most complex enterprise AI deployments
- They may own one large customer engagement or provide technical oversight across multiple smaller accounts, maintaining technical coherence across workstreams, developing technical leaders, and ensuring production AI systems deliver durable business value in complex customer environments
- This role is for leaders who can operate across altitudes: reasoning with customer executives about tradeoffs and delivery risk, setting architecture across multiple teams, developing AI Engineer Leads and senior engineers, and staying close enough to the work to make sound technical judgments about AI system behavior, code quality, evaluations, integrations, and production reliability
- Lead the technical success of complex enterprise AI deployments, either across one large customer engagement or a portfolio of smaller accounts, often spanning multiple use cases, production systems, workstreams, and teams
- Set technical direction across engagements, ensuring architecture, system behavior, evaluation strategy, integrations, and operational practices remain coherent as deployments grow
- Develop AI Engineer Leads, senior ICs, and emerging technical leaders, raising the bar for technical judgment, code quality, customer communication, and production ownership
- Serve as the senior technical partner to customer executives, enterprise architects, and business partners, building trust through clear communication, sound judgment, and reliable delivery
- Maintain technical proximity to live systems by reviewing designs, interrogating system behavior, debugging critical issues, guiding evaluation strategy, and participating in incident reviews and production quality improvements
- Use AI-native engineering practices to increase your own leverage and model effective use of AI tools for design, implementation, debugging, analysis, experimentation, and operational improvement
- Partner with company leadership on staffing, organizational design, leadership development, and customer expansion as engagements grow from pilot to enterprise-scale deployment
Our take
Distyl helps large enterprises adopt AI by providing tailored AI solutions. Its platform combines AI-native software with a top engineering team, enabling rapid implementation of AI across industries like healthcare, telecom and retail.
The company uses precision-engineered software and tools like Distillery to automate operations, transforming knowledge into AI processes. This results in faster decision-making and improved efficiency, allowing enterprises to stay competitive and optimise their operations.
With impressive funding secured, Distyl has quickly gained traction from Fortune 100 companies, delivering stunning outcomes like a 47% reduction in task resolution time. Having broken into Unicorn territory with a $1.7 billion valuation within two years of founding, the company is growing and expanding its customer base and product capabilities.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Sep 2025
$175m
LATE VC
Nov 2024
$20m
SERIES A
Total funding: $202m
Company benefits
- Equity options and healthcare
- Collaborative and supportive work environment
- Strong focus on personal and professional growth
Company HQ
SoMa, San Francisco, CA
Leadership
Arjun Prakash
(Co-Founder & CEO)Previously the Head of Solutions at Snorkel AI, a Business Development Head at Palantir Technologies and an Associate at BlackRock.
Derek Ho
(Co-Founder & COO)Previously the VP of Customers at Mendel.ai and also worked in Business Development at Palantir Technologies.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 17 more jobs at Distyl