About The Position

Today, data is everywhere, but only those who truly know how to use it effectively will succeed. Outreach believes there are large swaths of value still locked in sales operations data and we are putting an effort behind building out the best team to help Outreach and our customers succeed through the use of data. As our customer base grows, the desire for more insights, better coaching, and improvements in efficiencies outpace the supply. The Analytics team is focused on Analytics, Coaching Insights and Workflow optimization. This is a critical role that has a unique chance to build outcome-driven reports and analytics to guide our customers, improve their productivity and have a bigger impact on their revenue growth. This is a growing team within Outreach. This role would set the bar for engineering and operational excellence, team culture, business impact and hiring standards. Our customer base is yearning for more insights and this team will have a large impact on revenue, operational costs, and coaching efficiencies. This team will span multiple functions including machine learning, frontend, backend engineering and data engineering. The Analytics team will work closely with Data Science to leverage models for optimization, as well as develop their own models, the Data Platform team to shape data efficiently, the Product Management and User Interface Designers to surface data in an effective way.

Requirements

  • 2+ years of professional software development experience
  • Experience with shipping at least 1 major feature into production
  • Passionate about using analytics to drive the understanding, growth, and success of a product
  • Hands on, able to quickly pick up new tools and languages, excited about building things and experimenting, always looking to sharpen and adapt your skills.
  • Bias for using the right tools to get a job done with maximum efficiency.
  • Experience making tradeoffs between speed and accuracy
  • Proficiency in a modern language such as golang, Java, Python, C#, etc
  • Proficiency in at least one of the SQL languages (MSSQL, MYSQL, Postgres, etc)
  • Go above and beyond to help your team
  • Honest, admit mistakes, and own fixing them
  • Comfortable working directly with data analytics to bridge business requirements with data engineering

Nice To Haves

  • Hands-on experience with AI coding assistants, AI-based testing tools, and automation frameworks used in modern software engineering.
  • Strong knowledge of development workflows including planning, coding, testing, CI/CD, and deployment.
  • Experience with modern cloud environments and AI infrastructure (AWS, Azure, or GCP).
  • Understanding of how to connect AI systems with enterprise data sources (documentation systems, code repositories, ticketing systems).
  • Ability to identify opportunities where AI can accelerate development processes.
  • Knowledge of responsible AI usage, data privacy, and model governance in enterprise environments.
  • Experience in large scale distributed data systems
  • Experience collaborating with data scientists
  • Experience working in a start-up or building a product in a new category

Responsibilities

  • Build outcome-driven reports and analytics to guide customers, improve their productivity and have a bigger impact on their revenue growth.
  • Set the bar for engineering and operational excellence, team culture, business impact and hiring standards.
  • Leverage models for optimization and develop own models.
  • Shape data efficiently.
  • Surface data in an effective way.

Benefits

  • Flexible time off
  • 401k to help you save for the future
  • Generous medical, dental, and vision coverage for full-time employees and their dependents
  • A parental leave program that includes options for a paid night nurse, and a gradual return to work
  • Infertility/ assisted reproductive services benefit
  • Employee referral bonuses to encourage the addition of great new people to the team
  • Snacks and beverages in the Office, along with fun events to celebrate
  • Diversity and inclusion programs that promote employee resource groups like Outreach Women's Network, Latinx community, Outreach Black Connection, AAPI community, Pride/LGBTQIA+, Gender+, Disability Community, and Veterans/Military
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