Within the department, we’re building a new Marketing Analytics team and are looking for a Senior Data Scientist to drive its data science initiatives. In this role, you’ll work closely with Analysts, Engineers, and Marketing stakeholders to develop and productionize advanced machine learning, statistical, and predictive models that improve marketing performance and drive measurable company growth.

As a Senior Data Scientist – Marketing, you’ll take strong ownership of data science initiatives that directly shape our marketing strategy and growth. You will:

Partner closely with Marketing, Marketing Analytics, and Marketing Technology to identify opportunities and translate business questions into scalable data science solutions.

Lead the development of high-impact machine learning and statistical models for marketing use cases such as channel allocation, ad bidding, churn prediction, lifetime value, revenue attribution, and business metrics forecasting.

Work end-to-end - from translating business questions into hypotheses to researching, building, validating, and deploying models.

Run experiments and iterate in production: design A/B tests, monitor model performance, and continuously improve based on measured impact.

Advance our MLOps practices with CI/CD pipelines, retraining workflows, lineage tracking, and documentation.

Help define the team's roadmap and ways of working as a founding member of Marketing Analytics - your input will help shape this function.

Act as a senior role model in the team, sharing best practices and helping raise the bar for data science at Holidu.

We're looking for someone with 5+ years of experience as a Data Scientist, with clear ownership of projects that delivered measurable business impact. You should have a degree in Machine Learning, Computer Science, Mathematics, Physics, or a related field, and strong expertise in machine learning, statistics, and predictive analytics, with hands-on experience using Python and SQL.

Experience with marketing data science use cases such as attribution modeling, customer lifetime value prediction, churn modeling, or bid optimization is also required. You should have a solid understanding of marketing concepts across channels (e.g. Performance Marketing, SEO, CRM, Affiliate) and how data science can improve them.

Additionally, you should have experience working with modern data stacks, ideally including AWS (Redshift, Athena, S3), Airflow, dbt, and Git. A collaborative mindset paired with great communication skills is essential, as you'll need to work with diverse stakeholders and explain complex topics in a simple way.

AI proficiency is also a plus, as you'll be comfortable using AI to enhance coding, planning, and monitoring, and successfully integrating AI tools (such as Claude code, Codex, Copilot, etc.) into your workflow and teaching others to use them efficiently.

If you're excited about the opportunity to shape the future of travel with products used by millions of guests and thousands of hosts, apply now!

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You'll be the connective tissue between Marketing, Product, Engineering, and Sales, ensuring that every touchpoint from first page view to sales handoff is optimized for conversion and user quality. This is a high-leverage, metrics-driven role.

You'll set the strategy for how prospects discover Flexport, experience our products and technology for the first time, and convert into high-value leads that Sales can close. You'll own the growth marketing roadmap, run rigorous experimentation, and partner deeply with Marketing on acquisition and with Product and Engineering on the self-serve experience.

Responsibilities

Website as a Growth Product

• Own Flexport.com as Flexport’s highest-leverage growth channel to define the product vision, roadmap, and KPIs for the marketing website.
• Drive SEO and AEO strategy, information architecture, and content performance to increase organic traffic and domain authority.
• Lead conversion rate optimization across landing pages, product pages, and CTAs through structured experimentation (A/B tests, multivariate tests, holdout groups).

Self-Serve Flow & Product-Led Growth

• Own the end-to-end self-serve funnel from first visit through signup, onboarding, activation, and handoff to Sales.
• Define and instrument key growth metrics (visitor-to-signup, signup-to-activation, activation-to-MQL, MQL-to-SQL) and build dashboards that make funnel health visible across the organization.
• Identify and activate product-led growth levers: trial flows, in-platform conversion moments, guided onboarding, and expansion signals.

Marketing and Product Bridge

• Serve as the primary product partner between the Marketing team translating campaign objectives into product requirements and vice versa.
• Collaborate with Marketing and Sales Ops on lead scoring models, nurture logic, and segmentation strategies to ensure product signals feed into accurate lead qualification.
• Align product releases and platform capabilities with go-to-market motions so that new features translate into pipeline.

AI & Growth Innovation

• Leverage AI tools and workflows to accelerate experimentation, personalization, audience targeting, and performance analysis.
• Use AI to rapidly prototype and launch landing pages, microsites, interactive tools, and campaign automations without waiting on engineering resources.

Analytics & Experimentation

• Build and maintain growth dashboards that track traffic, funnel conversion, channel attribution, campaign ROI, and lead quality.
• Own the marketing experimentation program and define hypothesis backlogs, prioritize tests by expected impact, run experiments with statistical rigor, and scale winners.

Requirements

• Product management experience, with significant depth in growth, conversion, or product-led growth at a high-growth B2B technology company.
• Strong preference for former tech founders or early-stage operators who have owned the full end-to-end go-to-market for a B2B product from building the website to closing the first customers.
• Proven track record of driving measurable improvements in web traffic, signup conversion, activation rates, or pipeline generation.
• Deep understanding of enterprise B2B buying motions - complex, long sales cycles, buying committees, and what it takes to generate leads that Sales actually wants to work.
• Experience in logistics, supply chain, or enterprise SaaS is a strong plus.
• A power user of AI in your product workflow; you actively use tools like Claude Code, Codex, OpenClaw, or similar to accelerate prototyping, analysis, and experimentation.
• Bonus if you’ve used vibe coding or low-code AI tools to build landing pages, internal tools, or automations yourself.
• Fluent in web analytics, attribution modeling, and experimentation tooling (e.g. Google Analytics, Amplitude, Optimizely, LaunchDarkly). Comfortable writing SQL and building dashboards.
• Experience with marketing automation and CRM systems (Salesforce, HubSpot, Marketo) and a working understanding of how product signals feed lead scoring and sales workflows.
• Strong product craft , you write clear PRDs, define sharp success metrics, and ship iteratively. You know how to scope ruthlessly and say no to the right things.
• Excellent cross-functional communication. You can present strategy and results to the CEO, align Engineering on technical trade-offs, and partner back with your marketing team.
• A bias toward action and experimentation - you ship fast, learn fast, and iterate. You’re energized by ambiguity and thrive when you can move from zero to one.

Salary

The US base salary range for this position is $200,000-$230,000 USD.

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This role sits at the intersection of strategy, execution, and analytics, and is ideal for someone who is equally comfortable building apps, creating campaigns, optimizing paid media, and generating pipeline through unconventional methods.

You'll work closely with Product, Engineering, and Sales to ensure growth campaigns are tightly aligned with Flexport's platform releases, go-to-market motions, and business goals.

Campaign Strategy & Execution

• Design and execute integrated growth campaigns around Flexport's technology offerings, turning product innovation into pipeline.
• Build and optimize multi-channel campaign playbooks that span paid, owned, and earned channels.

AI & Marketing Innovation

• Leverage AI tools and workflows to accelerate campaign execution, content production, audience targeting, and performance analysis , we want someone who is already using AI daily to move faster and think bigger.
• Use AI tools to launch landing pages, microsites, online tools, internal dashboards, lead scoring models, and campaign automations without waiting on engineering resources.
• Stay on the cutting edge of how AI is reshaping B2B marketing and bring that thinking into everything the team builds.

Product-Led Growth

• Partner with Product and Engineering to identify and activate product-led growth levers , trial flows, in-platform conversion moments, self-serve onboarding, and expansion signals.
• Develop experimentation frameworks to test and scale PLG motions across Flexport's platform.

Lead Generation & Nurture

• Own the lead lifecycle from acquisition through sales handoff, designing scoring models, nurture sequences, and segmentation strategies that improve conversion rates at every stage.
• Continuously refine targeting and messaging to increase marketing-sourced and marketing-influenced pipeline.

Performance Marketing

• Manage and scale paid acquisition across Google Ads, LinkedIn, X, and other relevant channels with a sharp focus on cost efficiency and pipeline ROI.
• Own budget allocation, bidding strategy, creative testing, and audience development.
• Develop and execute targeted direct mail programs for high-value account engagement, event follow-up, and ABM campaigns.

Website

• Own Flexport's marketing website as a growth channel , driving SEO, conversion rate optimization, landing page strategy, and content performance.
• Collaborate with design and engineering to ship high-impact web experiences that convert visitors into qualified leads.

Reporting & Analytics

• Build and maintain growth marketing dashboards that track pipeline contribution, channel performance, campaign ROI, and funnel velocity.
• Use data to inform investment decisions and communicate marketing's impact to executive leadership.

Team Leadership

• Manage, mentor, and develop a team of 2–3 growth, product, and performance marketers, fostering a culture of experimentation, accountability, and continuous improvement.
• Work directly with our Founder and CEO and key revenue leaders to execute campaign ideas.

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The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the team

OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform.

About the role

We’re looking for an Advertising Marketing Science leader to establish and scale OpenAI’s advertiser-facing reporting, measurement, and attribution credibility. You’ll combine deep measurement expertise with strong judgment and cross-functional leadership to define how advertisers understand performance on OpenAI and how our reporting aligns with their existing measurement frameworks (MTA, incrementality/lift testing, MMM/geo experimentation).

This role will start as a hands-on individual contributor responsible for building the methodological foundations of OpenAI’s advertising measurement system. Over time, you will define the strategy, operating model, and team needed to scale this function globally as advertiser adoption grows.

This role is ideal for someone who enjoys building new capabilities from first principles, can translate complex causal measurement approaches into trusted industry narratives, and is energized by partnering across Product, Engineering, Sales, Partnerships and Legal to build a privacy-first measurement ecosystem.

In this role, you will:

• Define OpenAI’s advertiser measurement strategy, establishing how our reporting aligns with attribution (MTA), incrementality/lift testing, MMM, geo experimentation, and partner measurement frameworks.

• Build the foundation of OpenAI’s Marketing Science function, initially leading work as an individual contributor while designing the long-term team structure, operating model, and measurement programs.

• Lead advertiser-facing measurement discussions, representing OpenAI in executive briefings, measurement escalations, and industry conversations while building trust in our methodologies and reporting.

• Develop clear advertiser narratives that translate causal inference, attribution models, and statistical methodologies into understandable guidance for campaign optimization and investment decisions.

• Design and govern OpenAI’s advertising measurement program, including standardized experiment patterns (A/B, geo, quasi-experimental), power calculators, diagnostics, and experiment-quality guardrails.

• Build scalable measurement frameworks that reconcile results across MMM, MTA, and lift testing, helping advertisers triangulate OpenAI performance within their broader marketing measurement systems.

• Establish privacy-centric measurement approaches as needed, including aggregated measurement, and conversion modeling in partnership with Legal and Privacy teams.

• Translate measurement strategy into product capabilities, partnering with Product and Engineering to operationalize methodologies into durable measurement tools and reporting infrastructure.

• Shape OpenAI’s external measurement ecosystem, working with third-party measurement partners, clean-room providers, and industry groups to align standards and reduce friction for advertisers.

You might thrive in this role if you:

• Have deep expertise in advertising measurement including experimentation, incrementality testing, attribution modeling, and econometric approaches such as MMM.

• Have experience designing and scaling lift or incrementality programs, including governance, experimentation frameworks, and statistical quality standards.

• Are comfortable acting as a senior external measurement authority, confidently leading advertiser conversations, navigating discrepancies, and building trust with sophisticated marketing organizations.

• Can translate complex statistical concepts into practical decision frameworks for both technical and non-technical audiences.

• Can build functions from the ground up, setting strategy while also executing hands-on during early stages of team development.

• Have successfully partnered with Product and Engineering teams to translate measurement science into scalable product capabilities.

• Have experience working with third-party measurement providers or industry standards organizations.

• Thrive in fast-paced, high-ambiguity environments and are comfortable leading cross-company initiatives without direct authority.

• Care deeply about building trusted, privacy-forward measurement systems that enable long-term advertiser confidence.

About OpenAI

OpenAI 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 [OpenAI’s Affirm

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Location

London

Employment Type

Full time

Location Type

Hybrid

Department

CommercialRevenue Operations

Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.

As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.

Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.

About the role

As Synthesia's go-to-market strategy matures and marketing scales, we're building stronger operational foundations to drive predictable growth. We're looking for a Marketing Operations Manager to own and optimize the marketing engine — ensuring data integrity, scalable processes, and visibility into marketing performance.

Sitting within our RevOps team, this role will sit at the intersection of marketing, operations, and sales, driving automation, insights, and operational excellence that enable the team to move faster and smarter.

What you'll be doing…

Technology & Tools

• Website & Analytics Management

Own website measurement and analytics setup (Google Analytics, GTM).

Own measurability of performance marketing return, and work with ad platform owners to drive ROAS.

Audit and improve event tracking — including demo forms, pricing page, and self-serve sign-ups - using Segment CDP.

Ensure reliable, clean data for decision-making.

• Attribution

Strengthen ad attribution (CAPI, MTA) and improve CRM attribution logic.

Maintain alignment and data integrity between HubSpot, Salesforce and our data platform.

• Automation & Process

Build and maintain workflows, email programs, and campaign templates for scalable execution.

Standardize and automate campaign operations across field events, webinars, and paid channels.

• Tech Stack Ownership

Centralize ownership of all marketing technology and integrations with other tooling.

Lead HubSpot optimization or migration to an enterprise-grade marketing automation platform.

Ensure field alignment across systems (fields, routing, account matching, tracking).

Data Management & Reporting:

• Data Quality

Maintain clean, standardized data across. Build proactive issue-flagging and data QA mechanisms.

• Reporting & Insights

Build and maintain marketing dashboards (funnel performance, pipeline influence, ROI).

Support ad hoc analysis and root-cause investigations for performance drops.

Provide full-funnel and lifecycle visibility — from awareness to closed-won.

Deliver ICP-level insights on channel effectiveness and buyer engagement patterns.

• Lead & Intent Scoring

Design and implement lead scoring models combining demographic fit and behavioral intent.

Help sales prioritize outreach through clear, actionable scoring frameworks

Process & Workflow Optimization:

• Lead Lifecycle Management

Define and optimize lead routing, scoring, and handoff between marketing and sales.

Ensure enrichment, activity-based routing, and smooth SDR/AE follow-up.

• Automation & Efficiency

Automate repetitive marketing tasks and workflows for field marketing, SEO, and ads.

Enable marketing teams to focus on creativity and customer engagement, not manual ops.

• Field Marketing Enablement

Streamline event and campaign processes to minimize operational overhead.

Improve data capture, tracking, and ROI reporting for field events.

What you’ll bring…

• 5-7 years in Marketing Operations, Revenue Operations, or related operational or analytical roles.

• Hands-on experience with HubSpot, Salesforce, LeanData and marketing analytics tools. Experience with a sequencing tool (Outreach, SalesLoft, Groove, Gong) is a bonus.

• Deep experience in performance marketing and analytics, including hands-on within Google, Meta and LinkedIn ad platforms.

• Demonstrable experience creating and improving attribution models that drive decision-making.

• Strong understanding of inbound pipeline generation processes, including routing, prospect sequencing, enrichment and outreach.

• Exceptional data skills; able to conduct deep investigative analysis to identify issues and uncover areas of opportunity. The ability to write SQL is a strong bonus.

• Excellent cross-functional communication skills — especially with marketing, sales, and ops teams.

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