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We're looking for a Field CTO / Principal Architect to serve as our most senior technical voice in the field - trusted by CTOs, CISOs, and engineering leaders at our most strategic enterprise accounts, and a technical backbone for our Pre-Sales and Field organization.

This is a hybrid role at the intersection of customer-facing technical leadership, security expertise, and field enablement. You'll lead high-stakes architecture conversations and proof-of-concept engagements, serve as an escalation point for both customer-facing technical challenges and internal Product/Engineering alignment, and build the playbooks and materials that make every Sales Engineer and Pre-Sales professional more effective.

What Youll Do
Responsibilities:
Serve as the primary senior technical presence in strategic and enterprise accounts, building trusted relationships with CTOs, CISOs, architects, and senior engineering leaders.
Lead architecture sessions, executive briefings, and POCs that demonstrate the depth and differentiation of the platform, while being the voice of technical truth in the sales process.
Help enterprise customers understand their AI agent risk surface and build a credible path toward governance, observability, and control.
Elevate the broader Sales Engineering team by sharing knowledge and building reusable technical assets (architecture guides, security frameworks, deployment playbooks).
Partner with GTM on positioning, technical objection handling, and competitive differentiation in senior-level enterprise deals, and represent us at industry events, advisory boards, and analyst briefings.
Bring structured feedback from the field to Product, Engineering, and Research, identifying patterns across accounts and influencing roadmap priorities based on what top customers need.

We are looking for a talented Data Operations student to join our Data team!
In this role, you will play a vital role in monitoring system performance and ensuring smooth operations. You will be responsible for flagging and solving incidents, prioritizing issues, and collaborating with R&D, Delivery, and Customer Partner teams
The role includes, 2-3 shifts a week, including nights shifts & weekends.
Responsibilities:
Monitor system performance and operations to ensure they meet performance and availability standards.
Flag and solve urgent incidents, escalating complex issues to appropriate teams when necessary.
Prioritize incidents based on urgency and impact, ensuring timely resolution.
Collaborate with R&D, Delivery, and Customer Partner teams to address operational issues and improve processes.
Implement monitoring-related processes, such as on-Call playbooks and reports, to ensure consistency of service level and ensure SLAs are met.
Prepare and provide regular status updates and reports on system performance and incident management.

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.