Lead top‑of‑funnel paid media strategy and execution for SpaceXSI brand
Compensation
Annual Salary: $180,000 - $220,000 USD
Responsibilities
Develop and execute a top‑of‑funnel paid media strategy across television, podcasts, out‑of‑home, streaming audio and video, and other high‑impact brand placements
Own media planning, budgeting, forecasting, and allocation across brand campaigns
Identify markets, audiences, programs, creators, and cultural moments for maximum impact
Manage relationships with media agencies, networks, publishers, podcast partners, and other vendors
Lead media buying and negotiations, securing effective placements, pricing, added value, and contract terms
The Data Scientist will join the analytics team to work on marketing and media analytics problems, blending statistical/ML modeling with media and marketing performance knowledge.
Responsibilities
Build and maintain lead scoring models to prioritize high-intent customers/prospects for sales and marketing teams
Develop churn prediction models to identify at-risk customers and support retention strategies
Design and execute Media Mix Modeling (MMM) studies to measure channel-level marketing effectiveness and guide budget allocation
Write efficient SQL queries to extract, transform, and validate data from large marketing and transactional datasets
Build and productionize data pipelines and models in Python (pandas, scikit-learn, statsmodels, or equivalent)
Lead paid acquisition and performance media growth across key Asia-Pacific markets while based in the United States.
Locations (2)
United States
Japan
Responsibilities
Manage paid media campaigns across global and APAC-specific performance platforms
Optimize campaigns against business goals including new customer acquisition, revenue, ROAS, CAC, LTV, contribution margin, conversion rate, and payback period
Develop budget allocation strategies across markets, channels, campaigns, audiences, and funnel stages based on performance, incrementality, and growth potential
Lead performance creative testing across paid social, search, display, app, and regional media platforms
Partner with creative teams to develop, test, and iterate performance assets
Requirements
Bachelor’s Degree in Business or related field
Nice to have: native-level fluency in at least one major APAC language
Act as the technical authority for Fospha’s Enterprise tier, supporting customers, data science, and product teams to operationalize advanced marketing science models.
Responsibilities
Proactively and reactively support Customer Success and Account Management teams on model trust and methodology escalations
Design first‑party incrementality tests, calibrate models, and build structured learning agendas for clients
Capture and triage field feedback and methodological objections, feeding intelligence back to Product and Data Science
Build technical collateral, Academy content, and internal training to raise data literacy across the organization
Lead the Strategic Intelligence and Reporting & Data teams, own a portfolio of strategic enterprise accounts, and shape the practice’s growth and methodology.
Responsibilities
Own strategic enterprise accounts end to end
Act as VP stand-in on customer calls
Lead and coach analysts and managers
Review team work before customer delivery
Bring senior marketing‑science rigor to engagements
The Manager, Data Science leads the vision and technical execution of data science and marketing science across Marketing and Product. This is a hands-on technical role spearheading marketing measurement strategy, predictive growth models, and mentoring a team.
Compensation
Base salary range: $140,000 - $180,000
Responsibilities
Define and drive the data science and marketing science vision for Marketing and Product, establishing high technical standards.
Own the end-to-end marketing measurement framework, unifying media mix modeling (MMM), incrementality/geo testing, and multi-touch attribution.
Architect, build, and deploy high-impact predictive models—including client lifetime value (LTV), cross-sell/upsell propensity, and churn/retention.
Hold all data science products to strict production criteria: ensuring business value is sized upfront and models are validated.
Maintain an active hands-on engineering presence by writing, debugging, and reviewing production Python, SQL, and dbt models.
Partner with large B2B technology companies to drive marketing ROI, translating campaign performance into pipeline and revenue outcomes.
Locations (3)
New York City, New York, United States
Chicago, Illinois, United States
San Francisco, California, United States
Compensation
The pay range for this role is $149,000 to $228,000 OTE (On-Target Earnings). Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
Responsibilities
Own revenue attainment for your book of business in partnership with your AE. Drive renewals, upsell and cross-sell by building data-backed business cases and confidently challenging customers to invest to their goals.
Co-develop a strategic account plan for your book of business with your Account Executive.
Provide accurate revenue forecasts reflecting pacing, investment patterns, pipeline, and risk.
Build and maintain senior relationships across the buying group (CMO, VP Demand Gen, Marketing Ops, ABM, Brand).
Find the story in the data: turn campaign, CRM, and pipeline data into clear executive narratives that connect LinkedIn performance to pipeline, opportunity, and revenue outcomes.
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