Jobs at SimilarWeb

Build and productionize LLM-powered and machine-learning pipelines for product classification, normalization, taxonomy mapping, and entity matching across billions of records. Develop agentic workflows, evaluation frameworks, and scalable Spark/Databricks data solutions. Balance accuracy, cost, and latency while collaborating with Product, data engineering, data science, and R&D teams to move solutions from proof of concept into production.

Build custom data reports and products for enterprise customers, from scoping requirements through coding, implementation, and ongoing delivery. Apply quantitative analysis, data mining, and statistical methods to answer complex business questions using proprietary datasets. Collaborate with clients, consultants, sales, and engineering teams to develop scalable data solutions and clearly present insights to technical and non-technical audiences.

Administer the company’s global equity plans, including grants, vesting, exercises, ESPP, mobility, taxes, payroll reporting, and employee education. Maintain equity databases and manage the third-party stock plan administrator. Support month-end close and ASC 718 public reporting, ensure statutory and SOX compliance, and oversee blackout periods. The role also contributes to broader Finance Team responsibilities.

Build and lead scalable backend services using NestJS, Node.js, TypeScript, and/or Python, with strong ownership of APIs, data models, security, performance, reliability, observability, testing, and CI/CD. Collaborate on React frontends, translate product requirements into technical solutions, conduct code reviews, and use AI development tools to improve engineering workflows and productivity.

Own and execute long-term account strategies for global Big Four consultancy relationships. Responsibilities include managing partnerships, driving new business, renewals, retention, upsells, product adoption, customer ROI, and revenue growth. The role also requires advising clients on Similarweb insights, alternative data, investment due diligence, and buy-side or sell-side applications while presenting to senior stakeholders and resolving customer issues.

Serve as a performance marketing subject matter expert across SEO, AEO/GEO, paid search, paid social, display, and affiliate channels. Support sales and account teams through discovery, demos, RFPs, renewals, and expansion opportunities. Advise clients using competitive intelligence, keyword research, content analysis, paid media benchmarking, and AI-driven workflows. Provide product feedback, market intelligence, user research, and adoption insights to product and data teams.

Own enterprise new-business sales across Tier 1 EMEA, managing named accounts and inbound demand. Generate pipeline through prospecting, run consultative full-cycle deals, engage executive stakeholders, build internal champions, negotiate contracts, and close revenue against quarterly and annual quotas. Maintain accurate forecasts while selling data and insight solutions to marketing, strategy, insights, and e-commerce teams. Collaborate with Sales Development, Marketing, Solution Engineering, and Advisory Services.

Manages a multidisciplinary team of data engineers, scientists, and analysts developing statistical and machine learning solutions on large-scale data. Leads end-to-end data pipeline development from research through production, ensures process quality and reliability, collaborates with product and R&D teams, engages business stakeholders and customers, hires team members, and contributes to product strategy.

Manage enterprise customer accounts across APAC, serving as a strategic advisor and primary point of contact. Drive platform adoption, engagement, renewals, account longevity, and upsell opportunities by helping clients translate digital intelligence into business value. Identify churn risks, build trusted relationships, develop product expertise, and deliver polished client-ready insights using AI agents. Fluency in English and Chinese is required, with strong digital marketing and data fluency.

Manage mid-market and enterprise customer accounts across India and Southeast Asia. Serve as a strategic advisor, drive platform adoption and measurable customer value, identify churn risks, support renewals, build long-term relationships, and uncover upsell opportunities. The role requires fluency in English and Chinese, digital marketing knowledge, data fluency, analytical problem-solving, and the ability to produce client-ready insights using AI agents.

Build custom reports and data products from client requirements through coding and ongoing delivery. Apply quantitative analysis, data mining, and research to generate strategic insights from raw datasets and algorithms. Partner with Engineering and Advisory Services teams to scale solutions and answer complex business questions. Independently manage projects while communicating with clients and stakeholders.

Own enterprise expansion revenue through upselling and cross-selling across a customer portfolio. Build outbound pipeline, map whitespace, lead complex multi-stakeholder sales cycles, conduct value-based discovery, sell multiple products, negotiate with senior buyers, maintain accurate forecasts and CRM hygiene, and partner with Customer Success, Advisory Services, and Product. Regular travel across EMEA is required.

Own enterprise expansion revenue across EMEA, including upsell and cross-sell opportunities. Build pipeline through outbound prospecting, account-based strategies, and multi-threaded engagement. Lead complex sales cycles with executive, procurement, legal, and cross-functional stakeholders. Drive multi-product sales, maintain accurate forecasts and CRM hygiene, and partner with Customer Success, Advisory Services, and Product. Regular travel across EMEA is required.

Advises investment clients on using alternative data to answer investment questions. Leads discovery, designs data use cases, presents findings, translates requirements into technical briefs, coordinates cross-functional projects, and develops expertise in investor workflows and Similarweb data assets. Partners with Go-to-Market, Product, Research, Development, and client technical teams to identify new metrics, datasets, integrations, and roadmap opportunities.

Conduct outbound prospecting through cold calls, email, voicemail, and social media to identify and qualify target accounts. Research prospects, create sales opportunities, schedule meetings for account executives, and collaborate with the sales development team to improve processes. The role includes ongoing training, coaching, industry research, and potential opportunities to close smaller deals.

Leads a three-person data investigation team, spending approximately 80% of the time analyzing escalated customer data issues. Responsibilities include tracing metrics to source datasets, explaining findings, prioritizing investigations, improving team processes, creating documentation and dashboards, and partnering with analytics engineering to automate recurring questions through tools and AI-assisted products. Manages two direct reports while providing technical direction, reviewing engineering work, and communicating precisely with technical and nontechnical stakeholders.

Drive new business growth across mid-market and enterprise accounts by managing the full sales cycle, from prospecting and discovery through negotiation and closing. Meet quarterly quotas, generate inbound and outbound opportunities, maintain accurate Salesforce forecasts, and deliver consultative, value-based sales of Similarweb’s digital intelligence solutions. The role requires Japanese fluency, business English, SaaS sales experience, strong presentation skills, and a proven enterprise quota-carrying track record.

Build scalable backend services and APIs using NestJS, Node.js, TypeScript, and/or Python, with an 80% backend focus. Design data models, optimize queries, implement secure authentication, caching, asynchronous processing, observability, testing, and CI/CD. Collaborate on React frontend applications, guide architecture and code quality, translate product requirements into technical solutions, and use AI development tools to improve engineering workflows and productivity.

The Sales Manager will drive revenue growth by managing the complete sales process, maintaining a pipeline, and collaborating with internal teams to onboard clients successfully.

Build and deploy models and algorithms estimating advertising spend and audience reach across the web. Responsibilities include translating business logic into model assumptions and features, conducting research and validation, selecting between heuristics and modern machine learning approaches, addressing data quality issues, documenting model limitations, and collaborating with engineers and analysts on production implementation. The role also requires using AI-assisted coding tools and working with Python, PySpark, Spark, and Databricks.