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AlphaSense

Manager, Special Projects

RemoteUnited States only
Published
Role
Data Engineering
Experience
Senior
Company size
Enterprise
$150k–$180k/yr
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Open to US only. Set where you work from to check your eligibility.

No BS summary

Manager on RevOps Special Projects to build ETL pipelines, data models, and dashboards that power GTM decisions. 6–10+ years in analytics/BI or revenue operations with strong SQL, ETL (dbt/Fivetran/etc.), and deep Salesforce experience. Remote — United States only.

Core skills

SQLSalesforceETL / Data Pipelines

Required skills

PythonETLdbtFivetranSnowflakeAmazon RedshiftBigQueryDatabricks

Optional skills

TableauLookerPower BISigma

What you'll do

  • Design, build, and maintain data pipelines and support ETL processes that consolidate commercial data from multiple source systems into a single, trusted source of truth
  • Develop, automate, and maintain reporting on core commercial metrics and KPIs (pipeline, bookings, retention, productivity, etc.) for Sales, Marketing, and Revenue leadership
  • Drive the evolution of the RevOps analytics ecosystem by implementing scalable data pipelines, automation, and self-service reporting capabilities that improve business decision-making
  • Lead technical planning and execution for complex data platform initiatives, balancing business priorities with long-term platform scalability and maintainability
  • Identify opportunities to leverage AI and automation to improve reporting efficiency, data accessibility, and operational decision-making across the revenue organization
  • Provide technical ownership of the Revenue Operations analytics platform by establishing best practices for data governance, metric standardization, reporting automation, and mentoring team members
  • Support headcount and capacity planning, and partner with Sales Compensation to ensure comp plans, quotas, and territories are aligned with reporting and modeled accurately in downstream systems
  • Analyze rep productivity and identify data-driven opportunities to improve seller performance, ramp, and efficiency, partnering with Sales leadership
  • Build and maintain dashboards and self-service reporting tools that enable faster, more confident decision-making across the organization, including support for AI-powered reporting initiatives
  • Proactively identify, investigate, and resolve data quality issues, establishing monitoring and validation processes
  • Partner across Go-to-Market Intelligence and Business Analytics teams to translate business questions into scalable data models and migrate reporting artifacts into the data lake

What they require

  • 6-10+ years of experience in analytics, business intelligence, revenue/sales operations, or a related data-focused role, with hands-on experience building ETL pipelines and working with data warehouses/data lakes (e.g., Fivetran, dbt, Snowflake, Redshift, BigQuery, Databricks)
  • Demonstrated experience owning analytics solutions that support Revenue Operations, including sales performance reporting, KPI frameworks, pipeline analytics, forecasting, and executive-level business insights
  • Strong SQL skills required; experience with Python or another scripting language, and with BI tools (e.g., Tableau, Looker, Power BI, Sigma), is a plus
  • Proven ability to lead complex, cross-functional analytics initiatives while influencing senior business stakeholders and driving strategic operational improvements
  • Experience providing technical direction for Revenue Operations analytics initiatives, establishing scalable data practices, standardized metrics, and reporting frameworks
  • Strong experience translating business requirements into scalable data models, KPI frameworks, and executive dashboards
  • Deep, hands-on knowledge of Salesforce and core sales processes (pipeline stages, forecasting, territory and quota management)
  • Solid understanding of commercial/SaaS metrics and KPIs (pipeline, bookings, ARR, churn, rep productivity, etc.), including exposure to headcount/capacity planning and sales compensation structures
  • A best-in-class mindset with strong problem-solving skills and the ability to bring structure to large, ambiguous, data-driven challenges
  • Excellent communication skills, with the ability to translate technical concepts for non-technical stakeholders across Sales, Marketing, Finance, and GTM teams

Benefits

  • Performance-based bonus
  • Equity
  • Generous benefits program

AlphaSense delivers AI-driven market intelligence and search built on public and private content including equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

🇺🇸 United StatesTechnologyEnterprisealphasense.net/
$150k–$180k/yr