tvScientific Logo

tvScientific

Business Systems Analyst II, Sales Engineering, tvScientific

Reposted 5 Days Ago
In-Office or Remote
Hiring Remotely in San Francisco, CA
82K-169K Annually
Mid level
In-Office or Remote
Hiring Remotely in San Francisco, CA
82K-169K Annually
Mid level
Act as the technical lead during sales: scope integrations, recommend measurement/attribution solutions, troubleshoot implementation issues, translate technical concepts for clients, and liaise with Product/Engineering/Customer Success. Document best practices and use AI tools to accelerate discovery, troubleshooting, and documentation to ensure successful onboarding and long-term client outcomes.
The summary above was generated by AI

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.


We’re looking for a Sales Engineer to be the go-to technical partner for our customers—from the first “what is tvScientific?” conversation all the way through onboarding and beyond.

You’ll work side-by-side with Sales and Onboarding to scope out the right solutions, showcase what our platform can do, and make sure everything runs smoothly once clients are ready to go live. This role is a mix of technical problem-solver and trusted guide—you’ll help clients understand how we fit into their world and make sure they’re set up for long-term success.


What You'll Do:

  • Serve as the primary technical expert during the sales cycle, partnering closely with Sales to design, explain, and validate client integrations
  • Lead discovery conversations to understand client integration preferences, including client-side pixels, server-to-server postbacks, and custom reporting needs
  • Recommend measurement and attribution solutions tailored to each client’s business goals and technical environment
  • Troubleshoot and resolve implementation issues related to data flow, event firing, attribution, and reporting accuracy
  • Translate complex technical concepts into clear, client-friendly explanations to build trust and drive deal confidence
  • Work cross-functionally with Product, Engineering, and Customer Success to relay client needs and integration feedback
  • Stay current on ad tech, programmatic advertising, privacy changes, and measurement best practices to inform solutions and recommendations
  • Document best practices, integration patterns, and technical solutions for internal teams and clients
  • Leverage AI tools to improve day-to-day efficiency across technical discovery, research, documentation, and internal knowledge sharing
  • Use AI-assisted workflows to accelerate issue investigations, troubleshoot conversion requests and event flows, and draft technical documentation

What We're Looking For:

  • 3+ years in a technical, client-facing role (Sales Engineering, Pre-Sales, Technical Account Management)
  • Strong understanding of the digital media and advertising landscape, with experience talking to customers and agencies about digital media, including CTV advertising
  • Hands-on experience with tracking technologies (pixels, SDKs, server-side postbacks, APIs, tag management solutions)
  • Strong debugging skills and comfort working with logs, network requests, and data validation tools
  • Strong communication and problem-solving skills
  • A proactive mindset with the ability to work cross-functionally and independently
  • Comfort translating technical complexity into accessible explanations
  • Experience using AI tools to accelerate technical research, troubleshooting, documentation, and workflow efficiency
  • Strong judgment in applying AI-assisted workflows to customer-facing technical work while maintaining accuracy, clarity, and trust
  • Nice to Haves
    • Familiarity with programmatic platforms (DSPs, SSPs, exchanges)
    • Experience working with enterprise clients and complex technical stakeholders
    • Knowledge of analytics, conversion tracking, measurement, and attribution solutions
    • Working knowledge of privacy frameworks and regulations (GDPR, CCPA, consent management, cookie deprecation)

In-Office Requirement Statement:

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-SM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only
$81,921$168,660 USD

Similar Jobs

20 Minutes Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
146K-221K Annually
Senior level
146K-221K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead and grow a distributed Enterprise Sales Engineering team, partner with regional sales and cross-functional stakeholders, manage pre-sales escalations, participate in customer calls, hire and develop talent, and scale the sales engineering motion to drive enterprise SaaS/IoT product adoption. Role requires travel and close collaboration with product, support, and customer success.
Top Skills: ArduinoCloud TechnologiesIotNetworkingPhysical SecurityRaspberry PiSaaSSecurityVehicle TelematicsVideo-Based Safety
21 Minutes Ago
Remote
USA
130K-160K Annually
Senior level
130K-160K Annually
Senior level
Insurance • Legal Tech • Social Impact
Own core people operations including onboarding/offboarding, benefits, payroll, leave administration, compliance, HRIS operations and migration, PEO management, people reporting, policy evolution, and improving employee experience through operational excellence.
Top Skills: HrisPeo
34 Minutes Ago
Remote
United States
150K-230K Annually
Senior level
150K-230K Annually
Senior level
Aerospace • Hardware • Internet of Things • Robotics • Wearables • App development • Automation
Lead DoD business development for unmanned systems across air, ground, and maritime domains. Identify and shape opportunities, build program office relationships, drive RFIs/BAAs/RFP responses, manage HubSpot pipeline, coordinate proposals/demos, and align product roadmap with DoD requirements.
Top Skills: A.I. EnginesC2 Link SystemsGovtribeHubspot CrmManetMesh NetworkingOtaRf CommunicationsSam.GovTactical RadioUsaspending.Gov

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account