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.
Our Vision Of You:
- 2+ years of professional software development experience
- You have experience with shipping at least 1 major feature into production
- You are passionate about using analytics to drive the understanding, growth, and success of a product
- You are 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. You have a bias for using the right tools to get a job done with maximum efficiency.
- You have experience making tradeoffs between speed and accuracy
- Proficiency in a modern language such as golang, Java, Python, C#, etc
- You have proficiency in at least one of the SQL languages (MSSQL, MYSQL, Postgres, etc)
- You go above and beyond to help your team
- You are honest, admit mistakes, and own fixing them
- Comfortable working directly with data analytics to bridge business requirements with data engineering
Preferred Qualifications
- 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
Skills Required
- 2+ years of professional software development experience
- Experience shipping at least one major feature into production
- Proficiency in a modern language such as golang, Java, Python, C#
- Proficiency in at least one SQL language (MSSQL, MySQL, Postgres)
- Comfortable working directly with data analytics to bridge business requirements with data engineering
- Hands-on, able to quickly pick up new tools and languages; bias for using right tools for efficiency
- Experience making tradeoffs between speed and accuracy
- Hands-on experience with AI coding assistants, AI-based testing tools, and automation frameworks
- 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)
- 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
Outreach Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Outreach and has not been reviewed or approved by Outreach.
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Parental & Family Support — Parental leave is described as unusually generous, including extended leave and distinctive transition support such as a paid night nurse option and food delivery. Family-oriented benefits are repeatedly positioned as a standout part of the overall package.
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Healthcare Strength — Medical, dental, and vision coverage is described as comprehensive, with the employer covering a majority of premiums in many cases. Mental health support and an EAP for confidential counseling are also included as part of the health offering.
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Equity Value & Accessibility — Equity (stock options/RSUs) is commonly included as part of total compensation and is framed as a meaningful component of rewards. For some roles, equity is viewed as a notable source of upside that complements cash compensation.
Outreach Insights
What We Do
Outreach is the number one sales engagement platform. Using advanced machine learning and AI to automate and prioritize customer touchpoints, Outreach dramatically increases sales reps' effectiveness and ability to drive smarter, more insightful engagement with their customers. We're on a mission to make every customer-facing rep wildly productive.
Why Work With Us
We balance explosive growth with unwavering values. We believe in agility, but we don't compromise on high standards or delivering the best quality. Everyone truly wants to do the right thing. At Outreach, you are not only permitted to own your business, but expected to. If you're excited by ownership, you'll fit right in. You will never be bored.
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