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Paid Media Manager (Performance Marketing)

Location: Long Island, NY (4 days onsite)
Salary: $63,000 – $147,000 (DOE + OTE)

Overview

We’re partnering with a high-growth marketing agency undergoing rapid expansion due to exceptional client demand. With significant hiring plans underway, the business is focused on building a best-in-class paid media function that emphasizes structure, ownership, and measurable performance improvement.

This role blends hands-on campaign execution with client management and strategic input, making it ideal for a commercially-minded paid media specialist who thrives in a fast-paced, evolving environment.

Key Responsibilities

• Plan, execute, and optimise paid media campaigns across:
  • Google Ads (Search, Shopping, YouTube)
  • Paid Social (Meta as a core channel)
  • Display and Programmatic (strategic oversight)
• Drive revenue performance, focusing on:
  • ROAS
  • CPA
  • Conversion growth
• Build and implement cross-channel strategies to ensure cohesive performance across platforms
• Analyse campaign data and translate insights into actionable improvements
• Manage and maintain strong relationships with clients, acting as a trusted performance partner
• Contribute to strategic direction while remaining hands-on in platforms
• Support a growing team environment, with opportunities to take on leadership responsibilities over time

Key Requirements

Must-have experience:

• 2+ years in paid media, with strength in:
  • Paid Social (preferred), and/or
  • Paid Search
• Recent hands-on experience in:
  • Google Ads
  • Meta Ads Manager
• Proven success in performance marketing, particularly within:
  • Ecommerce / D2C environments
  • Revenue optimisation (ROAS-driven campaigns)
• Experience managing monthly budgets of $100K+
• Strong understanding of paid media strategy (not just execution)
• Confident in client-facing responsibilities and stakeholder management
• Analytical mindset with the ability to interpret performance data and optimise accordingly

Nice to have:

• Exposure to or interest in leveraging AI tools within media buying workflows

Experience & Profile

• Ideal profile: 3-5 years’ experience in a Paid Media / Performance Marketing role
• Background could include:
  • Paid Media Manager
  • Account Manager (Performance-focused)
  • Senior Executive in a smaller agency or in-house team
• Demonstrated ownership of revenue outcomes, not just campaign delivery

Candidate Fit

We’re looking for individuals who:

• Balance strategy with hands-on execution
• Thrive in fast-paced, less structured environments
• Are commercially driven and results-focused
• Can confidently engage with clients and internal stakeholders

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Principal Data Scientist – GenAI & Personalization – Remote (US) | $190k-$220k + 15% bonus

My client is a large, mission-driven learning technology organization reinventing itself as an AI‑first platform. Generative AI, personalization, and data science are now at the core of how millions of students learn – and they’re hiring a Principal Data Scientist to lead from the front.

This is a true hands-on principal IC role: deep technical ownership, real influence, no line management.

Why this role stands out

• Own and shape a core AI capability – scope built around your strengths
• Work on customer-facing GenAI products used at massive scale
• Strong leadership air cover – minimal meetings, protected focus time
• High-visibility work with real-world impact in education

What you’ll do

• Design and build GenAI systems that translate education standards into structured learning objectives
• Improve AI-driven assessments, content generation, and personalization engines
• Apply rigorous statistics to messy human data – and make it production-ready
• Partner closely with engineering on deployment, testing, and optimization

What they’re looking for

• PhD in Statistics or a highly quantitative field
• Strong generative AI experience (personalization or content generation a big plus)
• Excellent Python and end-to-end ownership – research → production → impact
• Clear communicator who can influence both technical and non-technical teams
• 4-5 years post-PhD industry experience

Bonus points for: MLOps, AWS/Databricks, or education experience (not required)

Logistics

• Fully remote (US-based)
• US Citizen or Green Card only (no sponsorship)
• Core availability: 11am-5pm EST

If you want principal-level ownership, meaningful scale, and the chance to define how GenAI shows up in real learning products – this role is built for that.

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Staff Data Scientist (GTM) | EU Remote

I’m partnering with a fast-growing B2B SaaS company on a high-impact Staff Data Scientist hire within their GTM Data function.

This is a rare role where you’re not just building models – you’re shaping how a business understands its customers. You’ll own the full lifecycle from problem framing through to production, and have a genuine seat at the table with senior leadership.

‘ :

* Building LTV and churn models that drive retention, upsell, and cross-sell strategy

* Developing predictive expansion models tied directly to revenue outcomes

* Bringing causal inference and Marketing Mix Modelling thinking to strategic marketing decisions

* Coaching analysts and embedding best practices across the team

‘ :

* 6+ years in applied data science

* Strong ML chops – churn, segmentation, LTV modeling

* B2B SaaS background (strongly preferred)

* Python + SQL as core tools

* At least one ML model shipped to production

* Someone who connects technical work to business outcomes – not just a list of tools on a CV

:

* Your experience is purely MMM or econometrics

* You’re heavily focused on LLMs/RAG

* You prefer a heavily structured environment with lots of oversight

UK Citizens and EU Citizens only.

If this sounds like your next move – or someone you know – drop me a message or comment below. Happy to share more details confidentially.

#DataScience #MachineLearning #SaaS #Hiring #DataJobs #LTV #ChurnModeling #RemoteJobs

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Senior Analytics Engineer – Orange County, CA $150,000 – $200,000 + Equity

We’re partnering with a fast-growing, product-driven technology company that is building a modern, data-first organization. They’re looking for a Senior Analytics Engineer to play a critical role in shaping how data is modeled, transformed, and consumed across the business.

This is an opportunity to work at the intersection of data engineering and analytics, helping stakeholders make smarter, faster decisions by delivering clean, scalable, and reliable data models.

What You’ll Do

• Design and build scalable data models that power analytics, reporting, and product insights
• Transform raw data into high-quality, well-documented datasets using modern tooling (e.g., dbt, SQL, cloud warehouses)
• Partner with product, engineering, and business teams to define key metrics and data requirements
• Improve data quality, testing, and governance across the analytics layer
• Enable self-service analytics by creating clear, intuitive datasets and documentation
• Contribute to the overall data architecture and best practices

What We’re Looking For

• 5+ years of experience in analytics engineering, data engineering, or a related field
• Strong SQL skills and experience building data models in a modern warehouse (Snowflake, BigQuery, Redshift, etc.)
• Hands-on experience with dbt or similar transformation frameworks
• Strong understanding of data modeling concepts (dimensional modeling, star schemas, etc.)
• Experience working closely with cross-functional stakeholders
• Familiarity with BI tools (Looker, Tableau, or similar)
• A strong focus on data quality, testing, and maintainability

Nice to Have

• Experience with Python or other scripting languages
• Exposure to event-based data or product analytics
• Experience in high-growth or startup environments

Why Join?

• High-impact role with real ownership over the analytics layer
• Collaborative, data-driven culture
• Competitive compensation: $150K-$200K base + equity
• Opportunity to shape the future of data within a scaling organization

If you’re excited about building clean data models, enabling better decision-making, and working in a high-growth environment – this is a great opportunity to step into a highly visible role.

Feel free to reach out directly or apply here to learn more.

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Staff Data Analyst – GTM

Location: Remote
Salary: $200-250k

This fast-growing, Series C cloud platform company is at the forefront of technological innovation, delivering cutting-edge solutions that drive industry transformation. The organization is seeking a highly skilled Staff Data Analyst to lead Go-to-Market (GTM) analytics efforts, enabling strategic growth and turning complex datasets into actionable insights to optimize GTM performance and operational efficiency.

About the Role

This position is central to defining and implementing data strategies that empower GTM teams. By developing metrics, automating reporting, and delivering insightful analyses, the Staff Data Analyst will play a critical role in optimizing growth strategies and ensuring data-driven decision-making.

Key Responsibilities

• Define and implement key GTM metrics to evaluate performance and uncover growth opportunities.
• Conduct in-depth analysis of complex datasets to deliver actionable GTM insights.
• Collaborate with cross-functional teams to identify root causes, refine processes, and inform strategic initiatives.
• Automate reporting workflows and create interactive dashboards to support leadership decision-making.
• Build and enhance datasets for growth optimization and cost reduction initiatives.
• Develop data accessibility solutions, ensuring timely and structured access to insights for all stakeholders.
• Shape the GTM analytics roadmap, aligning data projects with broader organizational goals.

About You

• 6+ years in analytics roles, with expertise in SaaS and product-led growth (PLG) business models.
• Advanced proficiency in SQL and experience with tools such as Looker, Hashboard, or Omni. Familiarity with Python or R and statistical modeling.
• Demonstrated ability to interpret trends, conduct root cause analysis, and deliver data-driven recommendations that influence strategy.
• Strong ability to present complex findings clearly to both technical and non-technical audiences.
• Proven success working in fast-paced, cross-functional environments to drive high-impact outcomes.

This is a unique opportunity to join a dynamic, data-driven organization and make a significant impact on the success of its GTM strategy. If you’re passionate about using data to drive innovation and thrive in a high-growth environment, this role is for you!

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AI Software Engineer

Remote (US – ET/CT Time Zone)
$120K-$160K + Benefits

I’m partnering with a global leader in digital learning technology that’s transforming how millions of students and educators experience personalized, AI-powered learning. Following major investment in generative AI, the company is scaling its AI Platform Engineering team to build the next generation of adaptive learning tools.

This is a hands-on engineering role focused on building production-grade generative AI applications that power multiple products across the business.

The Role:

You’ll design and build scalable, full-stack systems that integrate large language models and AI capabilities into digital learning platforms. Working closely with data scientists, product managers, and engineers, you’ll help take GenAI prototypes from experimentation to production-driving forward real-world AI impact.

Key Responsibilities

• Develop and maintain AI-powered applications and platform services that are reliable, scalable, and secure
• Build and optimize LLM-based and RAG-powered solutions using frameworks such as LangChain or LangGraph
• Collaborate with Data Science teams to productionize models and streamline deployment pipelines
• Lead and contribute to technical design, architecture, and CI/CD improvements
• Ensure applications meet accessibility (WCAG 2.2 AA), performance, and security standards
• Stay current on the latest advancements in GenAI and advocate for best practices across the team

About You

• 5+ years of professional software engineering experience
• Strong full-stack skills across:
• Backend: Python, Node.js, or Go
• Frontend: Angular or React
• Databases: MySQL/PostgreSQL + NoSQL (e.g., DynamoDB)
• Cloud/Infra: AWS or Azure, Terraform, CI/CD tools
• Hands-on experience building AI/GenAI-enabled applications (Azure OpenAI, Amazon Bedrock, etc.)
• Practical understanding of RAG techniques, vector databases, and AI orchestration tools
• Strong system design, performance optimization, and collaboration skills
• Passionate about building impactful technology and staying ahead in the AI space

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Staff Analytics Engineer

Location: Remote
Salary: $200-250k

Are you a data expert ready to drive transformative analytics at a cutting-edge cloud platform company? This fast-growing Series C innovator is revolutionizing how teams build, preview, and deploy high-performance digital applications.

About the Role

The Staff Analytics Engineer will lead the design and implementation of robust data models and pipelines, enabling business units to uncover insights and make data-driven decisions. This role is a unique chance to collaborate with engineering, product, and business teams, building scalable analytics systems that power operational efficiency and growth.

Key Responsibilities

• Design and maintain scalable data models and pipelines to serve as a single source of truth across the enterprise.
• Develop tools to enhance data accessibility, auditing, and validation, ensuring consistent, trustworthy datasets.
• Partner with cross-functional teams to uncover actionable insights and support decision-making.
• Build self-service analytics tools and dashboards for key stakeholders, streamlining workflows.
• Collaborate on advancing the company’s data platform using cutting-edge tools like dbt, Snowflake, and Superset.
• Lead initiatives to improve data quality, governance, and discoverability, ensuring alignment with business goals.

About You

• 8+ years of experience in analytics engineering or a similar role in a modern tech company.
• Advanced proficiency in SQL, with experience working on complex datasets.
• Expertise in data platforms like Snowflake or BigQuery and transformation tools like dbt.
• Familiarity with programming languages such as Python, Java, or Go.
• Experience with BI tools like Hashboard or Superset, and a strong grasp of schema design and dimensional modeling.
• Strong communication skills and the ability to collaborate in a fast-paced environment.

Be part of a forward-thinking team where data is at the core of every decision. If you’re passionate about transforming data into meaningful insights, this role offers the chance to work on impactful projects, collaborate with top talent, and make a lasting difference.

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Staff Marketing Analyst

Location: New York (Hybrid)

Salary: $200,000-$250,000 Base + Bonus + Equity

Join a high-growth SaaS innovator backed by top-tier investors as they scale their Marketing Analytics capabilities to power the next phase of growth. This Staff Marketing Analyst position sits at the intersection of data, marketing, and business strategy-delivering the insights that drive pipeline, accelerate conversion, and optimize customer acquisition across all go-to-market motions.

THE ROLE

As a Staff Marketing Analyst, you’ll own the strategy, architecture, and execution of marketing analytics. You’ll partner closely with Growth, Demand Gen, Digital, and Product Marketing teams to define KPIs, analyze performance, and bring visibility to what’s working and what’s not. Your work will influence campaign spend, GTM roadmap, and executive decision-making.

Key Responsibilities:

• Define and evolve core marketing metrics across the funnel: acquisition, pipeline velocity, ROI, CAC, and attribution.
• Deliver clear, actionable insights through in-depth analysis of cross-channel campaigns (digital, paid, content, lifecycle).
• Build scalable dashboards and automated reporting to support real-time visibility for GTM leaders.
• Partner with RevOps and Sales Analytics to align marketing efforts with revenue impact and customer segmentation.
• Identify optimization opportunities through experimentation frameworks, A/B testing, and customer behavior modeling.
• Develop and maintain clean, well-modeled marketing data sets for long-term scalability and growth analysis.

ABOUT YOU

Required:

• 7+ years of experience in analytics, with a strong track record in Marketing or GTM Analytics at a SaaS or high-growth tech company.
• Advanced SQL skills and deep experience with BI tools like Looker, Mode, or Hashboard. Experience with Python or R a plus.
• Strong understanding of modern SaaS marketing channels and KPIs (e.g. MQL, SQL, pipeline contribution, CAC, LTV).
• Strategic thinker with the ability to translate complex data into simple insights and present them to cross-functional stakeholders.
• Comfortable operating independently in a fast-paced, collaborative environment where priorities evolve quickly.

WHAT’S ON OFFER

• High-impact, high-visibility role with ownership across the full marketing analytics stack.
• Competitive compensation and equity at a top-performing AI-driven SaaS brand.
• Opportunity to shape analytics foundations and influence GTM strategy at scale.
• Collaborative culture, modern tech stack, and hybrid flexibility in NYC.

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Staff Data Scientist (Product)

Location: Remote

Salary: $190-220k

We’re partnering with a fast-growing SaaS company to find a Staff Data Scientist for a senior, high-visibility role embedded in their product organization. This is for someone who combines deep statistical expertise with the ability to influence how an entire company makes decisions – not just someone who runs experiments, but someone who builds the culture and infrastructure around them.

What You’ll Be Doing

• Owning and advancing the company’s experimentation roadmap, focused on high-leverage product questions around customer workflows, churn risk, and long-term value
• Designing and analyzing complex A/B tests, multivariate experiments, and Bayesian methods to measure the real impact of product changes
• Applying causal inference techniques (DiD, synthetic control, propensity score matching, instrumental variables) where traditional RCTs aren’t feasible
• Building and governing a unified KPI framework that connects product health metrics to meaningful business outcomes
• Partnering with Data Engineering to build scalable, self-serve experimentation tooling and reusable analytical frameworks
• Translating complex statistical findings into clear, compelling narratives for VP and C-suite audiences
• Mentoring and training junior and mid-level data scientists on experimental design and causal modeling

What We’re Looking For

This is a senior individual contributor role reporting to the Director of Product Data, acting as a strategic thought partner across Product, Engineering, Finance, Design, and Product Marketing. The company is at an inflection point in how it uses data to make product decisions, and this person will be central to shaping that.

Essential:

• 6+ years in applied data science, economics, or product analytics
• Proven expertise in causal inference: DiD, PSM, instrumental variables, quasi-experimentation
• Deep experience in A/B testing methodology including sequential testing, CUPED, variance reduction, and network effects
• Advanced SQL and Python or R for statistical modeling
• Experience with Snowflake or similar cloud data warehouses
• Exceptional communication skills, comfortable presenting to and influencing C-suite stakeholders
• Demonstrated ability to drive change in organizations where experimentation culture is still developing

Nice to have:

• Experience with dbt, Airflow, or Databricks
• Background in SaaS and product data science

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Senior Data Platform Engineer

Location: Los Angeles, CA

Salary: $160-200k base

We’re partnering with a fast-scaling, mission-driven advanced technology company building complex software and hardware systems deployed in real-world environments. Their platform processes and operationalizes high-volume data to power critical decision-making across the organization.

They are hiring a Senior Data Platform Engineer to design and scale the core data infrastructure that supports company-wide operations.

The Role

As a Senior Engineer on the Data Platform team, you will:

• Design and build scalable data pipelines and transformation frameworks
• Own ingestion and egress systems that unify multiple operational data sources
• Develop reliable, secure data models that power internal data products and applications
• Partner with engineering, product, and operations to translate business needs into production-grade systems
• Advocate for best practices across testing, CI/CD, data modeling, and security
• Debug and optimize complex transformation pipelines in production environments

What They’re Looking For

• 5+ years of experience in data engineering or backend engineering
• Strong programming skills in Python or similar languages
• Experience with Spark, PySpark, SQL, and dbt
• Familiarity with large-scale data platforms and cloud environments (AWS, Azure, or GCP)
• Experience with containerization and modern deployment practices
• Ability to operate autonomously in fast-moving environments
• Strong ownership mindset and attention to security best practices
• Must be a U.S. Person due to export-controlled information requirements

This is a high-impact role focused on building durable data systems that directly support operational execution at scale.

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Staff Data Platform Engineer

US Remote

$200-245k base + Equity

We’re working with a rapidly expanding consumer tech startup that recently raised $125M in Series D funding. As they continue to scale, they’re looking to hire a Staff Data Engineer to join their growing data team. If you have a strong foundation in software engineering, a collaborative mindset, and a passion for driving data strategy, this is the opportunity for you!

The Role:
As a Staff Data Engineer, you’ll be a crucial part of the team, ensuring data is accessible, reliable, and actionable across the company. Working alongside engineers, data scientists, and business teams, you’ll help build scalable data platforms that drive key business initiatives and enable data-driven decision-making.

What You’ll Do:

• Collaborate with engineering, data science, and business teams to understand data needs and implement effective solutions aligned with business objectives.
• Design and build scalable data infrastructure and pipelines to handle high volumes of data as the company grows.
• Lead the design and optimization of data architecture, ensuring it’s secure, high-performing, and scalable.
• Improve and streamline data pipelines to provide fast, reliable access to high-quality data.
• Contribute to the design of reporting frameworks and analytics tools that empower teams to make data-driven decisions.
• Work with security teams to ensure data privacy and compliance standards are met.
• Mentor junior engineers, share expertise, and promote best practices across the team.
• Stay updated on new technologies and suggest improvements to enhance processes and tool efficiency.

You’re a Great Fit If:

• You have 7+ years of experience in data engineering.
• You’ve worked at a leading consumer tech company known for engineering excellence.
• You’re an expert in SQL, Python, and data platform development.
• Nice-to-have: Familiarity with AWS, Kubernetes, Redshift, Athena, S3, and Airflow.
• You have hands-on experience with complex data infrastructures and optimizing data pipelines.
• You’ve led large-scale data projects that had a significant impact on your organization.
• You thrive in collaborative environments and have strong communication skills.
• You have an ownership mindset and take responsibility for delivering results.

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