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As a Tech Lead DevOps Engineer, you'll own the technical strategy for our cloud infrastructure end-to-end, from architecture to production. You'll build the automation frameworks, IaC tooling, and CI/CD systems that let engineering ship fast and safely at scale, while setting the bar for observability, reliability, and incident response across the org. You'll work closely with engineering leadership to shape the infrastructure roadmap and make the tradeoffs between velocity, cost, security, and reliability, acting as a technical multiplier for the broader team.

What Youll Do
Responsibilities:
Own and drive the end-to-end technical strategy for cloud infrastructure across AWS and multi-cloud environments, from conceptual architecture to production readiness.
Design and implement advanced automation frameworks, internal developer platforms, and tooling utilizing Python, Bash, and modern infrastructure-as-code technologies (e.g., Terraform, CDKTF).
Architect and continuously evolve CI/CD systems and delivery pipelines at scale, reducing friction and elevating developer productivity and deployment safety standards.
Define and enforce organization-wide observability, reliability, and performance standards, establishing best practices for monitoring, alerting, incident response, and system health.
Partner closely with engineering leadership and cross-functional teams to shape infrastructure roadmaps, enable scalable deployments, and ensure resilient production systems.
Make and own high-impact technical tradeoff decisions that judiciously balance velocity, cost efficiency, security, and reliability in a dynamic, growth-oriented environment.
Serve as a technical mentor and force multiplier, elevating the infrastructure capabilities of the broader engineering organization and championing a DevOps-first culture.

We are looking for a Solutions Architect - Performance Marketing with a strong performance marketing background to lead the deployment and success of our solution for a small number of enterprise customers.
You will own the full post-sale lifecycle, from implementation through ongoing optimization, working directly with growth, data, and engineering teams at some of the world's leading consumer apps. Your focus is on signal quality, experiment design, and driving measurable impact on paid acquisition performance.
This is a high-ownership role for someone who thinks in terms of ROAS, CPA, and bidding strategy, and can also get deep into data and systems to make it happen. You will be the primary point of contact for your accounts, lead engagements end-to-end, and translate performance data into clear decisions.
Success means turning your customers' best predictive signals into compounding growth on Google and Meta.

We're looking for a Media Solutions Manager to join our Data team on a 1-year contract, covering a maternity leave.
In this role, you will work closely with internal technical teams and the Client Partner (who owns the client relationship), focusing on campaign execution, testing, and performance optimization. The Media Solutions Manager plays a pivotal role in driving success by powerfully showcasing the impact and value of our business. This role is ideal for someone with 2+ years of hands-on experience in paid media (especially Google Ads), who is eager to deepen their expertise in campaign management and growth experimentation.
Responsibilities:
Plan, execute and monitor the process of adopting new signaling strategy (based on predictive values) in paid media ad accounts (primarily Google Ads), while ensuring alignment with client goals and KPIs.
Analyze campaigns data and surface insights to inform optimization opportunities.
Collaborate with internal technical teams and the Client Partner to implement media strategies and testing plans.
Support the design, launch, and measurement experiments across different testing methodologies, bidding strategies, audience segmentation, and creatives.
Help maintain and improve internal processes, dashboards, and reporting frameworks for campaign tracking and performance.
Stay up to date with platform changes and support the broader team with the implementation of best practices.

We are looking for a highly skilled and passionate DevOps Team Lead to lead the team responsible for our critical infrastructure, platform services, and core cross-product capabilities, ensuring scalability, reliability, maintainability, and high performance.

This role is ideal for an experienced engineering leader who is passionate about technology, thrives in high-growth environments, enjoys solving complex technical challenges, and is eager to drive technological innovation.

What Youll Do:
Responsibilities:
Lead and manage the platform/DevOps engineering team, including hiring, mentorship, performance reviews, and goal-setting.
Own the design and architecture of core infrastructure and platform services supporting all products.
Ensure scalability, reliability, and high performance of production systems.
Drive Infrastructure as Code and GitOps practices across cloud environments.
Design and operate large-scale cloud services (AWS/Azure/GCP), including cost and security ownership.
Implement and continuously improve DevOps practices, CI/CD pipelines, and observability (monitoring, logging, alerting).
Make technical decisions on large-scale data technologies such as Kafka, Spark, and OpenSearch.
Work within Agile methodologies and collaborate closely with product, R&D, and other engineering teams.
Own cross-product platform capabilities, ensuring consistency and engineering standards across teams.
Champion a culture of automation, engineering efficiency, and continuous improvement suited to a high-growth startup.
Manage the team's priorities, roadmap, and technical budget in coordination with engineering leadership.

Were looking for a highly skilled Junior Offensive Security Researcher to find new attack vectors, from initial exploitation to impact in the emerging world of Agentic AI, LLMs, and their surrounding ecosystem.

This role is ideal for researchers who are passionate about breaking new ground in the growing world of AI and impacting the future landscape of our products.

What Youll Do:

Responsibilities:
Research emerging agentic technologies and uncover new exploits, attack vectors and risks. From initial exploitation to impact.
Build tooling, harnesses, and test frameworks to scale attack discovery and make research repeatable. And contribute to internal red team infrastructure.
Investigate the surrounding ecosystem, not just the model. This includes: plugins, connectors, MCP servers, orchestration frameworks, and different types of infrastructure. Mapping how weaknesses in one component can develop into full compromise.
Work with product and engineering to translate offensive findings into new defense capabilities.

We are looking for a mission-driven Product Group Lead to own Acquire, our core product. We specialize in advanced AI predictive models, focusing on LTV, churn, and intent to drive business growth.
As the Product Group Lead for Acquire, you will be accountable for everything Acquire: strategy, roadmap, execution, and business outcomes. Acquire turns our predictive models into the conversion signals that drive smarter bidding on Google, Meta, and other channels, which means you will be operating at the intersection of predictive modeling, ad platform mechanics, and the daily reality of performance marketing teams.
Reporting directly to the CTO, you will lead a group of three Product Managers, setting direction, raising the bar on product craft, and growing them as practitioners. This is a player-coach role: you will own the group's strategy and its people, while staying close enough to the product to make sharp calls on scope, model behavior, and customer trade-offs yourself.
A defining part of this role is your partnership with Operations. Today, a lot of what makes Acquire work is carried by our Operations team working alongside our AI engine. You will embed with them, understand their day-to-day in real detail, and productize it: turning manual and repetitive work into scalable, agent-driven capabilities so we can scale even further.