Director of AI Engineering, Tricentis
More information about location
Software testing platform
Be an early applicant
Software testing platform
1001+ employees
Be an early applicant
More information about location
1001+ employees
Company mission
To develop a comprehensive set of software testing tools to deliver end-to-end testing for DevOps and agile environments.
Role
Who you are
- 10+ years of experience in software engineering, with at least 5 years in AI/ML engineering leadership roles
- Proven track record of building and leading high-performing engineering teams
- Deep expertise in machine learning, deep learning, NLP, generative AI, and large language models
- Strong programming skills in Python and other relevant languages (e.g., Java, SQL)
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices
- Experience deploying AI models at scale in enterprise settings
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- Excellent communication, organizational, and stakeholder management skills
- Experience designing, developing, and shipping commercial software products
- Familiarity with modern ML stack components, including GenAI, Agents, Semantic Search, and cost/performance optimization
- Solid understanding of the customer journey from problem identification to solution implementation
- Experience partnering with legal, engineering and product leadership to ensure high value AI inventions are systematically captured and protected
- Demonstrated creativity, problem solving, and innovative thinking
- Experience working in agile, globally distributed, cross-functional teams
- Willingness to travel domestically and internationally on occasion
What the job involves
- AI/ML Engineering Leadership
- Lead, mentor, and grow a high-performing team of AI/ML engineers and data scientists
- Shape the AI engineering roadmap through alignment with business goals and product strategy to deliver the right solutions in the needed timelines
- Oversee the design, development, and deployment of scalable AI/ML solutions for Tricentis’ product portfolio
- Foster a culture of innovation, technical excellence, and continuous improvement within the engineering team
- Spearhead MVP development and productization by rapidly prototyping and validating promising AI solutions through collaboration with AI product management and AI Research teams
- Technical Strategy & Architecture
- Lead the technical roadmap and architectural direction for AI/ML systems, through partnership with the Architecture teams
- Supervise the evaluation and technology selection process for AI and AI supporting technologies, including budgeting and Engineering leadership alignment, that meet current and future needs
- Oversee the development and deployment of domain specific machine learning models
- Ensure robust, scalable, and optimized AI features for real-world application including effective evaluations of Agents
- Collaborate in guiding technical research on emerging AI/ML models and technologies to pinpoint viable solutions for development and deployment
- Collaboration & Strategy
- Collaborate with product management, UX, and other engineering teams to define requirements and deliver AI driven features
- Partner with stakeholders to prioritize initiatives, allocate resources, and ensure timely delivery of projects
- Work closely with DevOps to streamline the deployment of AI models into production environments
- Establish and enforce ethical AI frameworks to promote fairness, mitigate bias, and maintain transparency in AI systems
- Leadership
- Supervise, mentor, and grow members of the AI/ML engineering team
- Drive all aspects of recruiting, including attracting, building, and retaining a highly skilled team
- Build and maintain a culture of accountability, accomplishment, continuous improvement, and teamwork
- Communication
- Communicate technical concepts, project status, and strategic vision to both technical and non-technical stakeholders
- Represent the AI/ML engineering team in executive meetings, customer engagements, and industry events
- Build strong partnerships across functional areas to enable and support product growth 1
Our take
In a traditional software development cycle, developers would take months to create and deliver a product. Testing involved writing scripts to test all parts of the program, and when the software changed, the scripts often broke, requiring extensive, time-consuming manual fixing.
Tricentis has modernised this process, bringing software testing into line with today’s agile development environment, where programs are being updated more quickly and require faster testing. Tricentis' automated 'Continuous Testing' platform offers enterprises a streamlined way to ensure their software continues to perform as necessary in a fast-moving market.
Tricentis' solution is up to 10 times faster than manual testing and with a far lower error rate, leading to cost savings of up to 40%. This has built the company a solid customer base of over 2,000 companies, including major banks, insurance companies and telcos. Software testing and QA are estimated to be a $34 billion market, so Tricentis has the potential to become a major asset to any company engaged in software development. A staggering $1.33 billion investment from GTCR was awarded in 2024 and will no doubt aid Tricentis's growth.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
0% employee growth in 12 months
Company
Funding (2 rounds)
Nov 2024
$1.3bn
GROWTH EQUITY VC
Jan 2017
$174.7m
SERIES B
Total funding: $1.5bn
Company benefits
- Pension plan, Private health insurance and Group Life Insurance
- Enhance statutory Maternity and Paternity Pay
- A number of leave offerings: volunteer days, vacation days, public holidays, and flex/floating leave days
Company HQ
East Oak Hill, Austin, TX
Leadership
Lee McClendon
(CTO)Previously worked as the Senior Vice President of R&D at SolarWinds and WP Engine and was Technical Lead Developer at NetIQ.
Dave Hafner
(CFO)Was GVP of Finance at SolarWinds, CFO at Calabrio and VP of Financial Planning and Analysis at Workfront.
Kevin Thompson
(CEO)Previously CEO of SolarWinds, SVP and CFO at SAS and Red Hat.
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 18 more jobs at Tricentis