Forbes

Program Manager

• Oversee the end-to-end delivery of projects within Paid Marketing team, supporting the Search Engine Marketing teams across all verticals.
• Develop detailed project plans, including timelines, resource allocation, and risk management.
• Ensure projects are delivered on time, within scope, and within budget.
• Collaborate with stakeholders, technical and product teams and third parties to define project requirements and deliverables.
• Facilitate communication and coordination between cross-functional teams.
• Monitor team performance and provide guidance to ensure project objectives are met.
• Serve as the primary point of contact for project-related communications with internal and external stakeholders.
• Provide regular updates to senior leaders on project status, risks, and issues.
• Manage stakeholder expectations and ensure alignment on project goals and outcomes.
• Collaborate with key stakeholder teams in the Social and Native to ensure successful product launches, adoption, and customer satisfaction.

Program Manager – SEM

Marketing

• Responsible for achieving the performance targets of your campaigns and helping the Native team achieve their overall growth goals
• Launch and manage multiple high-budget Native campaigns across Taboola, Outbrain, and Microsoft ads
• Continuously monitor campaign performance, identify trends, and implement optimizations to maximize ROI and meet KPIs
• Analyze campaign data to generate actionable insights and inform future strategies
• Regularly come up with and test new ad images and copy
• Work with the CRO team to come up with advertorial tests to drive performance uplifts
• Test new targeting, bidding, and creative strategies to drive innovation and stay ahead of industry trends
• Provide regular performance reports to stakeholders, highlighting successes, challenges, and opportunities for improvement

Native Media Buyer

Data Scientist

• Own end-to-end modelling of LTV, user segmentation, retention, and marketing efficiency to inform media optimization and value attribution.
• Collaborate with Paid Media and RevOps to optimize SEM performance, predict high-value cohorts, and power strategic bidding and targeting.
• Conduct deep-dive analysis of user behaviour, funnel performance, and product engagement to uncover actionable insights.
• Monitor and explain changes in key product metrics, identifying root causes and business impact.
• Work closely with Data Engineering to design and maintain scalable data pipelines that support machine learning workflows, model retraining, and real-time inference.
• Build predictive models for conversion, churn, revenue, and engagement using regression, classification, or time-series approaches.
• Identify opportunities for prescriptive analytics and automation in key product and marketing workflows.
• Support development of reusable ML pipelines for production-scale use cases in product recommendation, lead scoring, and SEM planning.
• Present insights and recommendations to a variety of stakeholders — from ICs to executives — in a clear and compelling manner.
• Translate business needs into data problems, and complex findings into strategic action plans.
• Work cross-functionally with Engineering, Product, BI, and Marketing to deliver and deploy your work.

Journalist

• Write helpful, accurate and engaging news stories, how-tos, roundups, best-ofs and product reviews.
• Work under daily deadlines and update stories in a timely manner
• Leverage data and SEO best practices when writing, editing and reporting
• Help the lead editor build and scale content efforts in the Investing vertical
• Assist and collaborate with internal teams in developing methodologies to rate and rank related products and services for best-ofs (e.g., best brokerages, best IRAs, best crypto exchanges)
• Brainstorm and contribute to newsletters and other editorial initiatives and features
• Adhere to Forbes Advisor style guidelines when writing and editing

Staff Writer, Investing

• Write helpful, accurate and engaging how-tos, roundups, directory pages, best-ofs and product reviews
• Update stories with timely information as needed
• Write expert reviews, breaking down the pros and cons of each product or service you review
• Brainstorm and generate story ideas and coordinate with your editors to bring them to life
• Leverage data and SEO best practices when writing and reporting
• Build methodologies to rate and rank related products and services for best-ofs (for example, top 10 freight forwarding services)
• Represent Forbes Advisor as a subject matter expert for PR requests

Staff Writer, Enterprise

Research Analyst

• Review data requests for feasibility, usability, and scalability
• Leverage a team of researchers to collect product and service data
• Perform analysis on collected data to identify top-quality products and providers
• Build analyses on Tableau against tight deadlines whilst ensuring accuracy and quality
• Develop and implement processes for quality control, performing checks on data gathered by the research team and actioning identified errors
• Communicate with the data research team leads and editorial teams to maintain transparency about the research process, stages of analysis, and any hurdles to meeting delivery deadlines
• Review editorial content resulting from work product for accuracy and completeness
• Scope for future line management of the analyst(s), monitoring performance and providing support for them to succeed and develop their career

Data Research Analyst – Loans

Manager

• Lead a team of analysts to deliver proactive, decision-first analysis (not just reporting)
• Produce campaign and business narratives that explain what happened, why it happened, and what to do next
• Partner with BI to evolve Tableau assets into scalable, self-serve intelligence; rationalise overlapping views
• Work closely with Data Engineering/Analytics Engineering to turn insight logic into robust dbt models with testing, versioning, and CI
• Establish a repeatable delivery rhythm (intake → prioritisation → delivery → readout → productisation)

Insights Manager

Business Development Rep

• Support the Director of Business Development in achieving revenue and growth targets
• Researching new categories and owning the pipeline for onboarding partners, working closely with AEs on outreach strategy
• Building relationships and setting up partnerships for long term success, aligned to profitability and quality targets
• Serve as the primary point of contact for all post-sale client management
• Coordinate with internal teams to project manage all elements required for campaign execution

Business Development Associate

Application Engineer

• Design, develop, and maintain scalable and reliable systems and applications.
• Own services end-to-end, ensuring high availability, performance, and security while continuously improving architecture and infrastructure.
• Collaborate with team of other senior engineers to help build solutions to meet the users needs.
• Contribute to a positive team culture fostering a supportive environment to motivate and challenge each other.
• Embrace a product-driven agile approach with the space to build great things at fast pace.
• Collaborate with the broader marketplace team, tapping into expertise from industry and domain specialists across Europe and the US to create pioneering experiences.

Senior Developer – Application Engineering

Media Buyer

Analyst

• Collaborate with SEO, Editorial, and Data teams to collect, organize, and analyze inputs that feed into our ranking systems
• Evaluate quantitative and qualitative data to generate actionable insights that inform our product and service rankings
• Utilize statistical tools and data visualization techniques to effectively communicate findings and support decision-making
• Play a central role in the quality assurance process for scoring models, ensuring that ranking outputs accurately reflect consumer and market data
• Identify discrepancies and recommend improvements to scoring algorithms and overall ranking logic
• Draft, update, and refine detailed documentation that explains methodology, scoring logic, and ranking processes
• Engage with various internal teams to integrate new data sources and market trends into our assessment models

Research & Methodology Analyst

Data Engineer

• Assemble large, complex data that meet functional/non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing transformation for greater scalability, etc.
• Use the infrastructure/services required for optimal extraction, transformation, and loading of data from a wide variety of data sources using GCP services.
• Work with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data requirement needs.

Data Engineer, L1

Backend Engineer

• Design, build, and maintain scalable and secure relational and cloud-based database systems.
• Migrate data from spreadsheets or third-party sources into databases (PostgreSQL, MySQL, BigQuery).
• Create and maintain automated workflows and scripts for reliable, consistent data ingestion.
• Optimize query performance and indexing to improve data retrieval efficiency.
• Implement access controls, encryption, and data security best practices to ensure compliance.
• Monitor database health and troubleshoot issues proactively using appropriate tools.
• Collaborate with full-stack developers and data researchers to align data architecture with application needs.
• Uphold data quality through validation rules, constraints, and referential integrity checks.
• Keep up-to-date with emerging technologies and propose improvements to data workflows.
• Leverage tools like Python (Pandas, SQLAlchemy, PyDrive), and version control (Git).
• Support Agile development practices and CI/CD pipelines where applicable.

Database Engineer

AI Engineer

• End-to-End Design Ownership: Oversee the complete design lifecycle for multiple, sometimes overlapping, product features from research and concept ideation to high-fidelity prototyping and final handoff. You will also produce detailed documentation (annotated mockups, style guides) for smooth development handoffs and coordinate with QA post-launch to gather user feedback and continuously refine the user experience.
• AI-friendly Design System Development: Contribute to the evolution of our design system from our current experience into an AI-first experience, creating scalable patterns, tokens, and workflows that can be prompted or extended by other designers.
• Front End Implementation: Understand design work into front-end components using React, Tailwind CSS, or rapid prototyping tools such as Bolt, Lovable in a consistent way and partner with engineers to align design intent and technical feasibility, ensuring solutions are both elegant and efficient to implement.
• Advanced Prototyping & Interaction: Develop interactive prototypes showcasing intricate user flows, micro-interactions, and motion elements that clarify and enhance the user experience.
• Team Mentorship: Provide guidance to junior and mid-level designers, facilitate design critiques, and foster a culture of feedback and continuous learning.
• Cross-Functional Collaboration: Cross-disciplinary skill sharing by organizing workshops or pairing sessions with engineering, experimentation teams, and product managers to broaden the team’s perspective.
• Documentation & Standards: Maintain system documentation covering tokens, component behaviors, accessibility, and brand alignment.
• Design System Governance: Champion design consistency and scalability while enabling experimentation and localization across products.
• AI Design Enablement: Explore how AI tools and generative workflows can accelerate design exploration and empower other designers to create faster and smarter.

Senior Product Designer – AI Platforms

Product Manager

• Own the Product Vision · Define and evolve the strategy for our revenue attribution pipeline, balancing current needs with future scalability.
• Maintain a clear roadmap of enhancements, technical upgrades, and new use cases aligned with business goals.
• Drive clarity around what good attribution looks like — and where it can power better decision-making.
• Collect and synthesize requirements from RevOps, Paid Media, and GM teams into actionable product specs.
• Write clear logic, schema documentation, and join requirements for data engineers to implement.
• Own the accuracy, usability, and interpretability of attribution outputs across stakeholders.
• Coordinate delivery across Engineering, Data Ops, and RevOps in a matrixed environment.
• Track implementation progress, flag blockers, and ensure delivery aligns with sprint timelines.
• Communicate proactively with business stakeholders about what’s changing, why, and what they’ll get.
• Work with business users to embed attribution into decision workflows — from bidding strategies to partner payouts.
• Provide context, documentation, and structured demos to increase usage and trust.
• Identify where adoption gaps exist and iterate to close them.
• Partner with leadership to define next-gen use cases — from cross-channel attribution to modelled revenue to audience insights.
• Contribute to long-term visioning around how attribution evolves in a privacy-constrained, ML-augmented world.
• Explore how new data, platforms, or frameworks could expand our impact.

Technical Data Product Manager

Full-stack Engineer

• Lead the expansion and modernization of our tech infrastructure
• Actively contribute to coding efforts
• Lead by example in creating detailed documentation
• Cultivate, mentor, and lead a team of talented developers
• Champion a product-centric agile methodology

Lead Full Stack Developer

User Researcher

• Oversee the complete research lifecycle for multiple consumer insight programs from research design and data collection to analysis, synthesis, and strategic recommendations.
• Partner with product, marketing, and growth teams to shape roadmaps, ensuring business solutions align with deep consumer understanding and market realities.
• Deliver findings as testable directives, as well as closing the loop on tests that ship by analyzing results and documenting clear patterns.
• Surface what people need when making financial decisions and ensure that understanding informs everything from content strategy to product development.
• Track evolving financial behaviors, cultural shifts, and competitor moves to position Forbes Advisor for growth.

UX Research Lead

• Support the Director of Business Development in achieving revenue and growth targets
• Serve as the primary point of contact for all post-sale client requests
• Collaborate with the sales team to develop tailored media plans and proposals
• Manage the collection of creative assets, tracking, and ad verification from clients and agency contacts
• Oversee order creation and management
• Process insertion orders and ensure compliance with requirements
• Coordinate with internal teams to project manage all elements required for campaign execution
• Partner with internal teams on billing reconciliation
• Assist the sales team in upselling and renewing business

Performance Marketing

• Forbes Advisor mission: help readers turn their aspirations into reality; team covers content, SEO, BI, finance, marketing, technology, and sales.
• Manage, monitor, and optimize paid social media campaigns on Meta and TikTok to meet performance marketing objectives.
• Analyze campaign performance metrics to identify growth opportunities and implement data-driven optimization strategies.
• Collaborate with creative teams to develop and iterate ad creatives that resonate with target audiences.
• Conduct A/B testing on ads, audiences, and bidding strategies to identify winning combinations.
• Maintain a deep understanding of the performance marketing landscape, including platform updates and trends.
• Work closely with internal stakeholders and external partners to ensure campaign goals are met.
• Work with analytics team members to maintain detailed performance reports and provide recommendations for scaling campaigns.
• Manage budgets effectively to ensure profitable allocation of ad spend while meeting performance KPIs.
• Ensure compliance with platform policies across all campaigns.

Program Manager – SEM

Native Media Buyer

Data Scientist

Program Manager

Staff Writer, Investing

Staff Writer, Enterprise

Data Research Analyst – Loans

Insights Manager

Business Development Associate

Senior Developer – Application Engineering

Media Buyer

Research & Methodology Analyst

Data Engineer, L1

Database Engineer

Senior Product Designer – AI Platforms

Technical Data Product Manager

Lead Full Stack Developer

UX Research Lead

Data Research Analyst – Loans

Business Development Associate

Paid Social Campaign Manager