Applied Scientist, Sync

About the role

Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. We infuse 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.

About The Team

We are seeking highly talented and motivated Senior Staff / Staff Software Engineers to join our team in India. If you are passionate about cutting-edge technology, enjoy solving complex problems, and want to be part of a collaborative, forward-thinking environment, this position is for you.

The Role

We are looking for a talented and experienced Software Engineer to help us expand the Outreach CRM Sync vision. The Sync Team ("Sync") is responsible for Outreach’s data integration platform, enabling bi-directional data integrations between Outreach and API-enabled applications and endpoints (e.g. Salesforce, Microsoft Dynamics).

• Engineering high-availability AI pipelines across distributed, cross-team components to ensure reliable, low-latency agentic workflows.
• Collaborating with stakeholders to ensure customers have the AI-driven capabilities and tools they need to succeed on the Outreach platform.
• Rapidly prototyping ML and LLM solutions to validate approaches and accelerate iteration on complex, ambiguous problems.
• Optimizing across the stack to maximize ROI for key pain points, from model architecture to service orchestration.
• Contributing to Outreach's most visible AI surfaces, shaping how customers experience our next-generation agentic AI capabilities.

Vision of You

• 1-2 years of hands-on experience implementing machine learning and NLP systems, including LLM-based architectures, text classification, entity recognition, dialog, and agentic AI workflows.
• A Master’s Degree, or PhD, in relevant field such as computer science, machine learning, or related disciplines.
• A strong foundation in statistics and experiment design, and passion for data are essential for success in this role.
• Proficiency in Python, Java or Go or C++, along with strong software engineering skills.
• Experience developing and deploying cloud-based AI applications.
• Familiarity with continuous-deployment projects.
• A collaborative mindset and willingness to support and elevate teammates.
• Ability to prioritize effectively and deliver incrementally in fast-moving environments.
• Ability to quickly learn new technologies, frameworks, and LLM-related tooling.

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
• Parenthood 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
• 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.

Compensation

The annual base salary range for this role is $130,000-$170,000 USD. You may also be offered incentive compensation, bonus, restricted stock units, and benefits. Actual compensation is based on factors such as your skills, qualifications, and experience. We also have a location-based compensation structure; there may be a different range for candidates in other locations.