Applied Scientist, Sync

Outreach

Seattle, USonsite$130k-$170k/yrPosted Jul 2, 2026
Posting intelligenceMay be filled, listed long agoReposted 4×, possible evergreen/ghost posting

Skills

classificationsalesforcedatabrickspythonc++javanaturallanguageprocessingsapllmgoml

About the role

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.

About the Team

Outreach is a dynamic and innovative technology company that is committed to pushing the boundaries of Sales business. 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 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). The integration platform is a tier 1 service, enabling users to take action within Outreach using data from any application. The integration platform also enables customers to use Outreach data in external applications. As a Software Engineer, you will play a pivotal role in our software development efforts, contributing to the design, implementation, and maintenance of high-performance software solutions. You will work closely with cross-functional teams to define technical requirements and drive the development of innovative, scalable, and reliable software systems.

Your Daily Adventures Will Include

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.

Our 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

Master’s Degree, or PhD, in relevant field such as computer science, machine learning, or related disciplines

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

Familiar 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.

$130,000 - $160,000 a year

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 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

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.

Compensation

This Applied Scientist role pays $130k-$170k/yr. Within typical range for applied scientist roles in United States.

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