Staff Software Engineer, Data Platform

Invoca • Los Angeles, CA

2d • $152,000 - $228,000 • Remote

About The Position

Invoca is seeking a Staff Software Engineer to provide technical leadership for the Data Platform team. This role involves establishing strategic technical direction and driving the team's delivery plan, translating roadmap goals into high-impact releases. The Data Platform team builds and innovates on Invoca's core data infrastructure and analysis tooling, which is crucial for turning call and SMS conversations and marketing signals into reliable, near real-time intelligence. This platform also supplies context for AI agents and powers Data Intelligence products. Success in this role is measured by the reliability and timeliness of data, the speed at which downstream teams can build on the platform, and the consistent delivery of planned work.

Requirements

• 8+ years of software engineering experience with deep expertise in data platform, infrastructure, or backend systems, and a track record of measurable impact in production environments.
• Proven technical leadership background: establishing team vision and architecture, managing an iterative delivery roadmap, and taking accountability for successful releases.
• Strong technical judgment with a bias toward simplicity and adoption over theoretical completeness.
• Ability to connect technical work to business and customer outcomes, and to communicate that connection clearly.
• Experience partnering across engineering, product, and business functions.
• High ownership mindset, curiosity, and urgency in a fast-moving, evolving technical environment.
• Direct and kind communication style.
• High agency: act without waiting for permission on reversible decisions and own the outcome.
• Ability to think from first principles and not accept how things have been done.
• Ability to make it safe for others to ask, dissent, and be wrong.
• Bring intensity to work, including meeting deadlines, flagging risks early, and finishing what is started.
• Ability to dig for the real problem when presented with a request.

Nice To Haves

• Hands-on experience with Databricks or a comparable lakehouse platform, plus modern pipeline orchestration tooling, strongly preferred.
• Experience serving data to AI systems as context — retrieval, embeddings, feature or context serving, or similar — is a strong plus.
• Experience building data systems, tools, or practices that were adopted broadly because they demonstrably improved speed, quality, reliability, or safety.
• Experience building AI tools and agentic workflows, and a track record of practically applying new tools rather than just being interested in them.

Responsibilities

• Define and evolve the technical vision for Invoca's data platform across all product teams.
• Design and build the ingestion, streaming, and transformation pipelines that bring call and SMS conversation data and marketing signals into the lakehouse.
• Evolve the lakehouse architecture and the core data analysis tooling teams use to explore, query, and report on that data.
• Ensure product teams can safely and easily build on our data without deep data infrastructure expertise.
• Continuously identify where shared platform investments can unlock new product capabilities or eliminate duplicated engineering effort.
• Provide overarching architectural direction for the Data Platform across ingestion, transformation, and serving layers while raising the engineering bar through mentoring, design reviews, and hands-on guidance.
• Own and execute the rolling 3-month delivery plan: translate roadmap strategy into clear priorities, navigate ambiguity, and maintain full accountability for shipping high-impact technical outcomes.
• Drive alignment across engineering and product teams through clear technical reasoning, simplifying complex systems, and serving as a trusted advisor to senior leadership.
• Build the systems that let the AI agents running in Invoca's platform use our data as context — retrieval, freshness, structure, and governance of the data those agents depend on.
• Work on Invoca's Data Intelligence products, like Atlas, our data agent, turning platform capability into intelligence customers can act on.
• Define clean boundaries and contracts between the data platform and the agent and product teams that build on it.
• Use AI and agentic workflows in how the team builds and operates the platform: agent-assisted development, adaptive pipeline orchestration, automated data quality checks, anomaly detection, and self-healing jobs.
• Establish safe, observable, and auditable ways to bring AI into how we build and run data workflows, and help the teams around you adopt them with confidence.
• Build shared data platform practices, tooling, and self-service capability (pipeline frameworks, data contracts, lakehouse standards) that other teams adopt instead of one-off approaches.
• Treat the data platform as a product with internal users: define adoption goals and measure whether teams are actually better off because of your work.
• Drive direction and standards for data architecture and pipeline design across the teams that depend on the platform, influencing through clarity, judgment, and evidence.
• Translate data platform decisions into terms leadership and product teams care about: data freshness, reliability, cost, and the speed at which downstream teams can ship.
• Partner directly with product engineering, analytics, and data science teams — the platform's primary internal customers — to prioritize the 3-month plan based on measurable business and customer impact, not technical elegance alone.

Benefits

• Competitive compensation
• Stock option program
• Day-One Health Benefits – Medical, dental, and vision coverage
• Mental Wellbeing support and an Employee Assistance Program (EAP)
• Wellness Subsidy – Reimbursement for gym memberships, fitness classes, and more
• Flexible Time Off
• 20 U.S. paid holidays, including a winter break
• Up to 12 weeks of 100% paid leave for baby bonding, adoption, and caring for family members (Paid Family Leave)
• Up to 12 weeks of 100% paid leave for childbirth and medical needs (Paid Medical Leave)
• Access to industry-leading enterprise AI tools
• Professional Development – Annual reimbursement of up to $1,000 per fiscal year
• 401(k) plan through Fidelity with a company match of up to 4%
• Recognition Programs
• InVacation (Sabbatical) after seven years of service

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed