Staff Software Engineer - AI

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.

Opportunity Management (OM) Team

About the Team

• Our mission is to deliver a resilient, internet-scale microservice platform supporting high-velocity development, real-time analytics, and intelligent automation. The team architects and powers the critical backend services at the core of our opportunity management and forecasting ecosystem. We collaborate closely with cross-functional leaders to drive innovation, enable data-driven decisions, and leverage cutting-edge AI/ML to ensure global customer impact.
• As Outreach invests in AI-native product experiences, this team owns both the backend platform and the clean, well-modeled, high-quality data foundations those experiences depend on. This role is central to that shift.

The Role

• We are seeking a Staff Software Engineer who thrives on tackling complex technical and architectural challenges at scale. You will bring deep expertise in scalable, distributed systems design, lead high-performing teams through ambiguity, and accelerate product innovation in data-driven and AI-rich environments. You will steer system evolution, guarantee performance under high load, and mentor peers while shaping delivery and technical direction.
• Equally important, you will raise the team’s data- and AI-engineering maturity — designing the pipelines, data models, and ML/GenAI integrations that power our next generation of intelligent features.

Your Daily Adventures Will Include:

• Leading the architecture, design, and delivery of distributed cloud-native applications capable of high concurrency and demanding real-time data needs.
• Designing and building production-grade data pipelines and ETL/ELT workflows — modeling data for both transactional (OLTP) and analytical (OLAP) use, and orchestrating them with modern workflow tooling.
• Integrating ML and GenAI capabilities into product features — from model serving and evaluation to LLM-powered enrichment, retrieval (RAG), and intelligent automation within our services.
• Championing data quality and correctness — building validation, observability, and testing into every step of the pipeline so downstream analytics and AI features can be trusted.
• Collaborating with data science, product, and engineering partners to ship intelligent, complex product features.
• Setting and promoting engineering standards for code quality, security, and operational excellence; nurturing automation and continuous improvement.
• Diagnosing and eliminating performance bottlenecks and proactively addressing reliability risks.
• Mentoring, reviewing code/architectures, and fostering a culture of rapid learning.
• Decomposing legacy systems into SOA/microservices, resolving tech debt, and evolving the architecture for scale.
• Taking end-to-end ownership of major initiatives from planning through impact.

What Sets This Role Apart: Data & AI Engineering

This role blends strong backend engineering with hands-on data and AI capability. You will be expected to grow the team’s fluency in these areas, so we look for depth (or a clear trajectory) across:

• Data modeling & storage: schema design, query optimization, and knowing when to reach for RDBMS, NoSQL, OLAP, or OLTP stores.
• Modern data stack: Spark / Delta Lake, Databricks or Snowflake, dbt for transformation, and Airflow (or similar) for orchestration.
• AI/ML in production: deploying and monitoring models, feature pipelines, and — increasingly — GenAI/LLM application patterns (embeddings, vector search, RAG, prompt/context engineering, evaluation).
• Analytics enablement: building the data models, frameworks, and artifacts that make trustworthy analytics and dashboards easy for others to build on.

Our Vision of You:

Required Qualifications

• Demonstrated excellence designing and operating large-scale distributed systems with cloud service-oriented architecture.
• Proven leadership in fast-paced environments, setting standards, and inspiring technical teams to exceed delivery goals.
• Mastery in backend programming (Go required; Python strongly valued for data/AI work; Java/Ruby a plus) and hands-on with distributed data platforms (Kafka, RabbitMQ, NoSQL).
• Hands-on data engineering: building and operating data pipelines/ETL, data modeling and schema design, and a rigorous focus on data quality and correctness.
• Experience building APIs and analytics/data infrastructure, and deploying ML algorithms in production.
• Excellent communication and cross-team collaboration skills.
• Commitment to security, compliance, and robust, scalable design.
• Growth mindset — always learning, always elevating the technical bar for the team.

Strong Pluses

Not required on day one, but a meaningful differentiator — and where we most want this hire to help the team grow.

• Experience with the modern data stack: Spark/Delta Lake, Databricks or Snowflake, dbt, and Airflow.
• Hands-on GenAI/LLM application experience: RAG, vector databases, embeddings, prompt/context engineering, and model/output evaluation.
• MLOps exposure: feature stores, model serving, and monitoring in production.
• Experience shaping data as a product — dashboards, semantic/metrics layers, and analytics enablement for other teams.

Why You’ll Love It Here

• Highly competitive salary

• 25 days annual vacation time + sick time and casual leave

• Group medical policy coverage available to employees and up to 5 eligible family members

• OPD benefit covered up to INR 10,000

• Life insurance and personal accident insurance at 3x annual CTC

• 26 weeks of maternity leave pay, and 15 days of paternity leave pay

• Opportunity to be part of company success via the RSU program

• Diversity and inclusion programs that promote employee resource groups like OWN+ (Outreach Women's Network), Adelante (Latinx community), OBX (Outreach Black Connection), Mosaic (AAPI community), Pride (LGBTQIA+), Gender+, Disability Community, and Veterans/Military

• Employee referral bonuses to encourage the addition of great new people to the team

• Fun company and team outings because we play just as hard as we work

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.