DoubleVerify Logo

DoubleVerify

Sr. Software Engineer II - AI Tooling and Interfaces - Rockerbox

Reposted 16 Days Ago
Remote
Hiring Remotely in United States
128K-230K Annually
Senior level
Remote
Hiring Remotely in United States
128K-230K Annually
Senior level
As a Staff Data Engineer, you'll architect and build data pipelines, champion small data strategies, mentor teams, and ensure operational excellence in data workflows.
The summary above was generated by AI

Who Are We

Rockerbox is building the next generation of marketing intelligence, and we're looking for someone to help us build the AI systems everyone else just theorizes about. As a Sr. Software Engineer II in AI Tooling and Interfaces, you'll design and build systems purpose-built for AI agents, automations, and decisioning engines that drive real outcomes for our clients and internal teams. If you enjoy turning high-volume data into clean, powerful systems—and you want your work to drive real business outcomes rather than just dashboards—this role puts you right at the center of the action.


What You'll Do

  • Work closely with engineers, product managers, and data teams to identify and prioritize AI opportunities across the organization.
  • Translate product requirements into AI-driven solutions that directly impact the client experience.
  • Build end-to-end automations using LLMs, internal data, and external signals to eliminate repetitive tasks and unlock new client-facing capabilities.
  • Design and implement agentic workflows and orchestration pipelines that automate complex, multi-step processes.
  • Design retrieval, orchestration, and memory layers that make our AI agents smarter over time.
  • Establish best practices for AI data quality, observability, and safety.

What You Bring

  • 6+ years of experience in software engineering, data engineering, or large-scale distributed systems.
  • Hands-on experience integrating LLMs into production systems (embeddings, RAG, vector stores, or agent orchestration).
  • Strong proficiency in Python and SQL.
  • Experience with Kubernetes and container-based infrastructure and deployment.
  • You think in systems: storage, retrieval, metadata, reliability, latency, failure modes.
  • Ability to work from ambiguity to execution — you're comfortable being the first to figure something out.
  • Strong communication skills: you can explain tradeoffs, scope decisions, and technical strategy clearly.

The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV.
The estimated salary range for this role based on the qualifications set forth in the job description is between [$107,000 - $193,000]. This role will also be eligible for bonus/commission (as applicable), equity, and benefits.
The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognize that the person we hire may be more or less experienced than this job description as posted.

Not-so-fun fact: Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!

DoubleVerify Los Angeles, California, USA Office

12655 W Jefferson Blvd, Los Angeles, CA, United States, 90066

Similar Jobs

An Hour Ago
Easy Apply
Remote
United States
Easy Apply
204K-290K Annually
Senior level
204K-290K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
Lead technical strategy and architecture for Affirm Bank's cloud, data, vendor integrations, and operational tooling. Design, build, and operate high-stakes systems end-to-end, own incident response, vendor selection, and the Bank↔Affirm Inc integration boundary. Ensure examiner-ready documentation, compliance, reliability, and observability while mentoring engineers and pushing AI-assisted engineering practices to increase velocity and product safety.
Top Skills: Agentic Ai WorkflowsAWSCi/CdClaudeCodexCursorIamObservabilitySnowflakeTerraform
An Hour Ago
Easy Apply
Remote
United States
Easy Apply
195K-280K Annually
Senior level
195K-280K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
Lead development of scalable, well-tested data products for Revenue: design dbt models, metrics, dashboards, governance, and AI-enable analytics. Drive technical direction, automation, quality, and mentor cross-functional partners to deliver trusted reporting and self-service analytics.
Top Skills: DatabricksDbtLookerSalesforceSigmaSnowflakeSQLTableau
An Hour Ago
Easy Apply
Remote
United States
Easy Apply
146K-225K Annually
Junior
146K-225K Annually
Junior
Big Data • Fintech • Mobile • Payments • Financial Services
Design, train, and productionize underwriting ML models for real-time transaction decisions. Build feature pipelines and training datasets, run experiments, integrate models into batch/real-time systems, and monitor data and model health while collaborating with cross-functional teams.
Top Skills: AirflowCatboostClaude CodeCursorDaskKubeflowLightgbmMlflowPythonPyTorchRaySparkXgboost

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account