Lead, Ads Prospecting & Customer Intelligence

United States Digital Space LLC

United States

Hybrid

USD 180,000 - 280,000

Full time

6 days ago
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Job summary

United States Digital Space LLC is seeking a Lead, Ads Prospecting & Growth Intelligence to build the intelligence and orchestration platform powering the company’s ads business. You will own the prospecting function for SMB Ads, set the vision, and partner with Ads Engineering, Data Science, and internal platform teams to drive outcomes.

You will define data models, establish standards for identity and data quality, and design scoring and action workflows that connect data to measurable

Qualifications

  • Experience building go-to-market systems, customer-data products, growth platforms, lifecycle infrastructure, revenue systems, or marketing technology.
  • Ownership of platforms that connect data, decisions, and workflows to measurable commercial outcomes.
  • Strong product judgment to prioritize opportunities and sequence delivery.
  • Translate identity resolution, enrichment, scoring, segmentation, routing, experimentation, and feedback loops into system requirements.
  • Design solutions grounded in marketers' and sales teams' campaign and customer workflows.

Responsibilities

  • Lead the function’s strategy, roadmap, operating model, and adoption. Connect platform investments to advertiser and business outcomes.
  • Define a unified prospect, account, contact, and advertiser data model with standards for identity, data quality, provenance, freshness, confidence, and consent.
  • Combine market, intent, behavioral, product, CRM, campaign, and customer-success signals to improve targeting and engagement.
  • Design enrichment and verification workflows; evaluate in-house capabilities, platforms, vendors, APIs, AI, and human review to select solutions.
  • Develop scoring and next-best-action models using fit, intent, activity, reachability, lifecycle stage, and growth potential.
  • Connect intelligence to action across sales, marketing, product, paid media, partners, and lifecycle journeys via routing and activation.
  • Enable marketers to create audiences, configure triggered journeys, run experiments, and execute campaigns with quality checks and approvals.
  • Build feedback loops using outreach, engagement, conversion, spend, retention, churn, and outcomes to improve targeting and lifecycle decisions.
  • Measure data quality, coverage, targeting accuracy, deliverability, conversion, and incremental value; establish permissions, suppression, auditability, and provider-performance standards.

Skills

Go-to-market systems
Customer data
Growth platforms
Lifecycle infra
Marketing tech

Tools

SQL
APIs
Automation
AI prototyping

Job description

About the Team

the company is building the next generation of advertising for an AI-powered world. As AI changes how people discover information, explore possibilities, and make decisions, we believe this presents a huge opportunity for small and medium-sized businesses to connect with customers in new ways.

About the Role

We are hiring a Lead, Ads Prospecting & Growth Intelligence to build the intelligence and orchestration platform powering the company’s ads business. This person will help us identify the right companies and people, understand why they are relevant, determine the right next action, and learn from what happens afterward.

Own the prospecting function for the ads business, serving SMB Ads while building a foundation reusable across segments. Set the vision, operating model, roadmap, platform choices, business rules, adoption, and outcomes; and partner with Ads Engineering, Data Science, and internal platform teams. Decide what to build in-house, enable through internal platforms, or deliver through selected vendors and partners.

In This Role, You Will
  • Lead the function’s strategy, roadmap, operating model, and adoption. Connect platform investments to measurable advertiser and business outcomes.
  • Define a unified prospect, account, contact, and advertiser data model. Establish standards for identity, data quality, provenance, freshness, confidence, and consent.
  • Combine market, intent, behavioral, product, CRM, campaign, and customer-success signals to improve targeting and customer engagement.
  • Design enrichment and verification workflows. Evaluate in-house capabilities, platforms, vendors, APIs, AI, and human review to select effective solutions.
  • Develop scoring and next-best-action models using customer fit, intent, activity, reachability, lifecycle stage, and growth potential.
  • Connect intelligence to action across sales, marketing, product, paid media, partners, and lifecycle journeys through coordinated routing and activation.
  • Enable marketers to create audiences, configure triggered journeys, run experiments, and execute campaigns through intuitive systems with quality checks and approvals.
  • Build feedback loops that use outreach, engagement, conversion, spend, retention, churn, and customer-success outcomes to improve targeting and lifecycle decisions.
  • Measure data quality, coverage, targeting accuracy, deliverability, conversion, and incremental value. Establish permissions, suppression, auditability, and provider-performance standards.
You Might Thrive in This Role If You
  • Bring substantial experience building go-to-market systems, customer-data products, growth platforms, lifecycle infrastructure, revenue systems, or marketing technology.
  • Demonstrate ownership of platforms that connect data, decisions, and workflows to measurable commercial outcomes.
  • Apply strong product judgment to prioritize opportunities, define useful solutions, and sequence delivery.
  • Translate identity resolution, enrichment, scoring, segmentation, routing, experimentation, and feedback loops into clear system requirements.
  • Design practical solutions with marketers and sales teams, grounded in their campaign and customer workflows.
  • Explore data and test ideas with tools such as analytics platforms, SQL, APIs, automation, or AI-assisted prototyping. Production engineering experience is not required.
  • Evaluate build, buy, and integration choices across CRM, marketing automation, customer data platforms, and campaign‑execution systems.
  • Lead a small team and build alignment with senior cross‑functional partners.
  • Apply sound judgment to privacy, consent, deliverability, data rights, governance, and customer trust.
  • Bring relevant experience in advertising, SMB or self‑serve businesses, product‑led SaaS, marketplaces, commerce, fintech, enterprise go‑to‑market, or other multi‑segment customer journeys.
Preferred Qualifications
  • Experience building prospecting or customer intelligence platforms for advertising, SMB, or self‑serve businesses.
  • Track record combining customer and intent data to improve targeting and conversion.
  • Experience deploying enrichment, scoring, and next‑best‑action models across marketing and sales.
  • Experience integrating data vendors, CRM, marketing automation, and customer data platforms.
  • Hands‑on experience using SQL, APIs, automation, or AI to validate growth solutions.
  • Experience building feedback loops and governance practices that improve performance, data quality, and trust.
Workplace & Location
  • San Francisco, CA. This role requires a hybrid schedule with an in office requirement from Monday - Wednesday.
About the company

the company is an AI research and deployment company dedicated to ensuring that general‑purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see the company’s ...

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information.

To notify the company that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

the company Global Applicant Privacy Policy

At the company, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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