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Software Engineer, Analytics PlatformOutreach • United States
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Software Engineer, Analytics Platform

Outreach
  • US
    United States
  • US
    United States
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Über

About Outreach
Outreach, founded in 2014, is the only complete
agentic AI
platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few.
The Role
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.
About the Team
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
$130,000 - $150,000 a year
The annual base salary range for this role is $130,000-$150,000 USD. You may also be offered incentive compensation, bonus, restricted stock units, and benefits. Actual compensation is based on factors such as the your skills, qualifications, and experience. We also have a location-based compensation structure; there may be a different range for candidates in other locations.
Why You'll Love It Here
• 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
Outreach is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Our success is reliant on building teams that include people from different backgrounds and experiences who can elevate assumptions and ideas with fresh perspectives. We're dedicated to hiring the whole human, not just a resume. To that end, we look for a diverse pool of applicants-including those from historically marginalized groups. We would like to invite you to apply even if you don't think you meet all of the requirements listed below. We don't want a few lines in a job description to get between us and the opportunity to meet you.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
  • United States

Sprachkenntnisse

  • English
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