Lead the development and implementation of machine learning solutions, managing a team to drive strategic decisions and innovative business outcomes.
WHAT YOU’LL DO
The Machine Learning team at Viant is revolutionizing the Ad Tech industry with innovative machine learning systems. By automating manual processes in creating, launching, and measuring digital ads, we build autonomous systems that process hundreds of millions of events daily.
We are seeking an experienced and visionary Senior Manager, Applied Science to lead the development and implementation of machine learning solutions that drive significant business impact. In this role, you will define the team’s strategic direction, cultivate a high-performance engineering culture, and deliver innovative models and systems to address complex business challenges.
THE DAY-TO-DAY- Provide strategic and technical leadership to the Machine Learning Engineering team, driving innovation and ensuring alignment with company objectives.
- Own the end-to-end development, deployment, and maintenance of machine learning models that power Viant’s products and services.
- Develop and coach a team of machine learning engineers, fostering a culture of excellence in engineering practices, architecture, and quality.
- Apply advanced machine learning techniques, including supervised learning and causal inference, to solve problems such as content demand forecasting, incremental value measurement, and personalization.
- Collaborate with cross-functional teams, including Product, Finance, and Content leadership, to deliver actionable insights and guide strategic decisions.
- Drive innovation by researching and implementing new methodologies, statistical techniques, and machine learning approaches.
- Build and nurture relationships with stakeholders, ensuring timely delivery of impactful machine learning solutions.
- 7+ years of experience in machine learning, with at least 3+ years leading and scaling high-performing teams.
- Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
- Strong expertise in developing and applying machine learning models for real-world business applications.
- Proven ability to deliver results at scale through innovation and operational excellence.
- Exceptional problem-solving skills and the ability to tackle challenges not previously solved in the industry.
- Demonstrated track record of fostering collaboration across technical and business teams.
- PhD in Machine Learning, Computer Science, or a related field.
- Experience in the Ad Tech industry or with digital advertising systems.
- Publications or contributions to leading conferences in machine learning or data science
Investing in our employee’s professional growth is important to us, but so is investing in their well-being. That’s why Viant was voted one of the best places to work and some of our favorite employee benefits include fully paid health insurance, paid parental leave and unlimited PTO and more.
Base compensation range: $180,000 - $220,000
In accordance with California law, the range provided is Viant’s reasonable estimate of the compensation for this role. Final title and compensation for the position will be based on several factors including work experience and education.
#LI-AM1
About Viant
Viant Technology (NASDAQ: DSP) is an exclusively buy-side, AI-powered advertising platform purpose-built for CTV. Viant uniquely combines proprietary content intelligence, household-level identity resolution, and person-level attention signals to connect advertisers with real customers and drive measurable outcomes across the open internet. Through its award-winning AI solutions, Viant is building the future of autonomous advertising, where AI doesn't just assist the campaign, it delivers real results. Learn more at viantinc.com.
Viant is an equal opportunity employer and makes employment decisions on the basis of merit. Viant prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, reproductive health decision making, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. Viant also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.
By clicking “Apply for this Job” and providing any information, I accept the Viant California Personnel Privacy Notice.
Similar Jobs
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Manage a caseload of absence leaves (FMLA, PFML, CPL, ADA): investigate eligibility, administer ongoing leave, communicate with claimants/employers/medical pros, ensure compliance, support return-to-work and client service metrics.
Top Skills:
ExcelOutlookWord
.jpg)
AdTech • Cloud • Marketing Tech • Productivity • Software • Analytics • Automation
The Director of Developer Relations & Technical Content will lead a team to expand Acquia and Drupal's reach, engaging digital leaders and marketing technologists through content, community, and evangelism.
Top Skills:
Digital Marketing TechnologyDrupalLow-CodeNo-Code
AdTech • Cloud • Marketing Tech • Productivity • Software • Analytics • Automation
Own positioning, messaging, launches, and feature-release support for Acquia Source (CMS and DAM). Translate product capabilities into buyer-focused sales assets and proof points, maintain competitive coverage, partner with evangelism and demand-gen teams, and present demos publicly. Operate with an AI-first approach to strategy and execution.
Top Skills:
AcquiaAcquia SourceAeoAICmsDamDrupalGeo
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
