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What am I going to do?
Monitor and optimize paid search campaigns across multiple channels, primarily Google Search, ensuring alignment with business objectives.
Leverage AI tools and emerging technologies to enhance workflows, improve operational efficiency, and strengthen campaign analysis.
Continuously explore and implement AI driven methods to improve campaign performance and team productivity.
Stay up to date on the latest trends in paid search and digital marketing, continuously integrating new tactics to maintain a competitive edge.
Use analytical tools to evaluate campaign performance and deliver actionable insights to stakeholders, helping the team make informed decisions and achieve its goals.
Develop and manage monthly budget plans to optimize ROI.
Act as a point of contact for the external data and analytics team, aligning on measurement strategy, data access, and performance modeling.
Build and maintain dashboards to monitor team KPIs, uncover performance patterns, and track progress toward goals.

What am I going to do?
Build and evolve our production LLM pipelines, turning unstructured text into structured data that the product consumes.
Design and operate large scale batch and near real time data processing, including correctness, freshness and cost.
Build the retrieval and serving layers that make our data usable in real time.
Decide what runs on which LLM model, and prove the choice with numbers rather than intuition.
Keep cost and latency predictable as volume grows: throughput, failure handling and monitoring.
Build agentic workflows that makes the whole team faster, and help set the standards others work to.

What am I going to do?
Translate business goals, campaigns, and product messaging into design that tells a story
Work autonomously with stakeholders in Growth, Brand, Leadership, and Product, managing your own priorities
Maintain and evolve our brand guidelines, ensuring consistency across every marketing and brand deliverable.

Required DevOps Team Lead
Position Overview
We are looking for driven, curious people who like to learn whatever necessary to create new features, who want to make an impact and be a part of a high paced development team. Our stack consists of Python, React, Redux, React Native, GCP (GoogleCloud Platform) and more, but what matters most is attitude - if you love creating new features, care about building an excellent product that gives good service to people and you are willing to learn whatever necessary to do so, you belong with us.
Key Responsibilities
This is a hands-on leadership role - you'll split your time roughly 50/50 between people management and technical execution (writing code, owning architecture, being in the weeds).
Hire, manage, and grow a team of DevOps/SRE engineers, focusing on their performance, career development, and day-to-day support.
Lead the technical vision and roadmap for the Internal Developer Platform, working closely with engineering leadership to prioritize and sequence platform investments.
Drive architectural decisions for platform primitives - evaluate trade-offs and build consensus across engineering teams.
Build and maintain an Internal Developer Platform (IDP) -self-service workflows for provisioning, deploying, and operating services.
Mentor and grow platform engineers - pair programming, code reviews, and shaping engineering culture.
Own reliability standards: define SLOs, lead blameless postmortems, and drive systemic improvements.
Manage the Kubernetes (GKE) control plane and cluster-level primitives.
Own infrastructure-as-code standards (Terraform, Helm) and enforce GitOps practices across the org.
Build and maintain the observability platform - structured logging, metrics pipelines, alerting, and SLOs.,
Manage AI data infrastructure: pipelines and embedding stores as infrastructure services.

What am I going to do?
Full Ownership: Drive infrastructure initiatives through their entire lifecycle, taking accountability from initial design to delivery and long-term operations.
Kubernetes Orchestration: Architect, implement, and maintain production-grade Kubernetes clusters, ensuring they remain scalable and resilient under high-scale demand.
Cloud Architecture: Design and manage robust AWS environments, including VPC, IAM, and EKS, to support a highly available platform architecture.
Infrastructure as Code: Utilize Terraform to build and evolve our environment, applying configuration management principles to all IaC workflows.
CI/CD Excellence: Support and improve our deployment pipelines using Jenkins and GitHub Actions to maintain a fast development velocity.
Observability: Implement comprehensive monitoring solutions with Prometheus and Grafana to ensure deep visibility into platform health.
Operational Resilience: Join the DevOps on-call rotation, taking responsibility for mitigating production issues and maintaining site reliability.
Tooling & Innovation: Continuously evaluate and adopt tools - security and otherwise - that raise the bar on engineering efficiency and security posture at our company.

What am I going to do?
Make an impact: Drive outcomes across the company marketplace for clients and freelancers alike - but expect the specific area you own to shift. Where you focus is set by our strategic Bets, and those change as the Bets change.
Lead a multidisciplinary team: Collaborate with engineers, designers, and data scientists to drive product delivery and innovation.
Turn data into decisions: Define how we collect, validate, and use the signals that power the product - translating data into reliable inputs for better decision-making.
Drive the end-to-end user experience: Continuously improve the surfaces and flows that users rely on, from onboarding to ongoing engagement.
Develop and execute roadmaps: Create strategic product roadmaps and lead their execution, balancing short-term delivery with long-term platform thinking.
Collaborate across teams: Work with stakeholders across the organization to align on a shared direction and amplify impact.
How we actually work: our company's product org runs on strategic Bets - leadership sets a small number of company-wide Bets each half, derived directly from our OKRs, and most of our capacity flows there. Teams get assigned to whatever Bet most needs them next, not necessarily their "home" domain. That means the traditional model - a fixed squad with permanent mission and task ownership - doesn't really apply here. Scope, team composition, and priorities move as the Bets move, sometimes mid-cycle. You're joining a team and a mission-driven org, not a fixed job description, and the right person for this role reads that as the exciting part, not the risky part.