bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesPinterestBusiness Systems Analyst II, Sales Engineering, tvScientific

Business Systems Analyst II, Sales Engineering, tvScientific

Pinterest · San Francisco, CA, US; Remote, US · Remote · Active · Greenhouse

Job facts

FieldValue
CompanyPinterest
TitleBusiness Systems Analyst II, Sales Engineering, tvScientific
Normalized title-
Department / teamtvScientific
LocationSan Francisco, United States
Work modelRemote / Remote
Employment typeRegular
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-04-13 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Pinterest.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in tvScientific.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyPinterest
Source62fbc0b4-dfc4-45d7-9b9e-0e0c3607d145
ATS providerGreenhouse

Description

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . 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 Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Full job record

Job IDabc14b9944e6e67710363688c31f2034cdea0c1a
Org ID68544bae-1557-4db5-b833-4214810445b5
Source ID62fbc0b4-dfc4-45d7-9b9e-0e0c3607d145
Board ID62fbc0b4-dfc4-45d7-9b9e-0e0c3607d145
Providergreenhouse
Provider Job Key7782565
TitleBusiness Systems Analyst II, Sales Engineering, tvScientific
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco, CA, US; Remote, US
DepartmenttvScientific
Team
Employment TypeRegular
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://www.pinterestcareers.com/jobs/?gh_jid=7782565
Apply URLhttps://www.pinterestcareers.com/jobs/?gh_jid=7782565
First Seen At2026-05-29 22:41:39Z
Last Seen At2026-06-06 20:31:24Z
Last Checked At2026-06-06 20:31:24Z
Last Changed At2026-06-06 07:33:26Z
Inactive At
Source Posted At2026-04-13 17:21:39Z
Source Updated At2026-06-04 19:57:20Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=pinterest/date=2026-06-06/2026-06-06T20-31-24-275Z-255944a9c48855edc4f4ddf76179e2d3bc0d817e3d1da4855f65650bba2f81ee.json
Event Fields
{
  "content_hash": "338187f7594d4faf8d18f4cf3d0411d480fc61964bd0690535da82bb2260b8c1",
  "source_hash": "373b720bb7c713cf8659f8d81f5b4f4b0bfc45ee474dfef3471158215972840e",
  "last_changed_at": "2026-06-06T07:33:26.772Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "San Francisco, CA, US",
    "city": "San Francisco",
    "region": null,
    "country": "United States",
    "is_remote": true,
    "confidence": 0.95
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T20:31:24.512Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "San Francisco, CA, US",
      "city": "San Francisco",
      "region": null,
      "country": "United States",
      "is_remote": true,
      "confidence": 0.95
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "remote",
  "salary_period": null,
  "workplace_type": "remote",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "title": "Business Systems Analyst II, Sales Engineering, tvScientific",
  "offices": [
    {
      "id": 83,
      "name": "San Francisco",
      "location": "San Francisco, CA, US",
      "child_ids": [],
      "parent_id": 78376
    }
  ],
  "language": "en",
  "location": {
    "name": "San Francisco, CA, US; Remote, US"
  },
  "metadata": [
    {
      "id": 5955,
      "name": "Employment Type",
      "value": "Regular",
      "value_type": "single_select"
    },
    {
      "id": 16373425,
      "name": "Career Track",
      "value": "Individual Contributor",
      "value_type": "single_select"
    },
    {
      "id": 61175930,
      "name": "Careers Page Department",
      "value": [
        "Sales",
        "tvScientific"
      ],
      "value_type": "multi_select"
    }
  ],
  "updated_at": "2026-06-04T15:57:20-04:00",
  "departments": [
    {
      "id": 340118,
      "name": "tvScientific",
      "child_ids": [],
      "parent_id": 340117
    }
  ],
  "company_name": "Pinterest",
  "requisition_id": 3405991,
  "first_published": "2026-04-13T13:21:39-04:00",
  "application_deadline": null
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/abc14b9944e6e67710363688c31f2034cdea0c1a?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/68544bae-1557-4db5-b833-4214810445b5JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/62fbc0b4-dfc4-45d7-9b9e-0e0c3607d145JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/abc14b9944e6e67710363688c31f2034cdea0c1a/eventsJSON