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Harrison Clarke

Harrison Clarke

www.harrisonclarke.com

5 Jobs

6 Employees

About the Company

Harrison Clarke is the Leading Cloud, Data & AI Staffing & Recruiting Firm! We partner with Tier 1 Venture Capital firms to help portfolio companies from seed round to Fortune 500 build and grow with the top 1% world class engineering talent in this space.

Listed Jobs

Company background Company brand
Company Name
Harrison Clarke
Job Title
Client Success Manager
Job Description
**Job Title** Client Success Manager **Role Summary** Own the relationship and success of a portfolio of high‑growth technology clients, steering them through the full lifecycle of talent acquisition—from onboarding to post‑placement support—while acting as the liaison between client leadership and internal research teams. **Expectations** - Deliver a consistently excellent client experience, ensuring timely, high‑quality outcomes. - Build and sustain long‑term strategic partnerships grounded in trust and expertise. - Influence hiring strategy, compensation, and process improvements to align with market trends. **Key Responsibilities** - Manage end‑to‑end client lifecycle: onboarding, search kickoff, candidate presentations, interview coordination, offer negotiation, and post‑placement follow‑up. - Serve as strategic talent advisor to hiring managers and leadership teams, providing market insights, compensation guidance, and process optimization. - Design, implement, and iterate scalable processes that enhance speed, transparency, and quality. - Collaborate with recruiters to align role requirements, sourcing strategy, and candidate quality standards. - Lead regular pipeline meetings with client recruiting and engineering leaders to review progress, unblock challenges, and ensure alignment. - Act as the primary relationship owner for a portfolio of high‑growth technology clients. **Required Skills** - 5+ years of full‑cycle recruiting, client success, or account management experience in technical or high‑growth environments. - Demonstrated ability to close senior‑level placements or manage enterprise relationships in competitive markets. - Strong understanding of modern engineering domains (Cloud, SRE, DevOps, Platform, Data, ML). - High proficiency in building long‑term client partnerships, proactive value delivery, and relationship management. - Autonomous, decisive action‑oriented mindset with ability to handle ambiguity and drive initiatives. - Process‑savvy, detail‑oriented, and able to build repeatable, scalable workflows. - Intellectual curiosity; keeps up with new technologies and industry trends. **Required Education & Certifications** - Bachelor’s degree in Business, HR, Engineering, or related field (preferred). - Professional certifications in recruiting, talent acquisition, or client success (e.g., SPHR, Certified Professional in Talent Development, or similar) are advantageous.
London, United kingdom
On site
Mid level
25-11-2025
Company background Company brand
Company Name
Harrison Clarke
Job Title
Software Engineer, Developer Productivity
Job Description
**Job title:** Software Engineer, Developer Productivity **Role Summary:** Lead design, implementation, and maintenance of internal tooling, platforms, and CI/CD pipelines to accelerate engineering velocity, improve reliability, and reduce friction for developers at a financial services firm. **Expectations:** - Own end‑to‑end developer experience and product mindset for internal tooling. - Deliver scalable, secure, and repeatable deployment workflows across multi‑cloud environments. - Mentor and set engineering standards. - Measure and report productivity through meaningful outcomes. **Key Responsibilities:** - Design and build a modern developer productivity platform (golden paths, self‑service tools). - Develop and maintain robust CI/CD pipelines and deployment frameworks (Jenkins, CircleCI, TravisCI, etc.). - Implement multi‑cloud infrastructure patterns (AWS, Azure, GCP) with Terraform or CloudFormation. - Create containerized environments and orchestrate with Docker and Kubernetes. - Automate environment provisioning, release management, and observability. - Partner with product, infrastructure, and security teams to balance velocity and reliability. - Continuously iterate on tooling to simplify processes and enhance usability. **Required Skills:** - Strong coding proficiency in Java, Scala, Python, or Go. - Deep experience with CI/CD tools and pipeline design. - Proven expertise in multi‑cloud environments (AWS, Azure, GCP). - Proficient with infrastructure automation (Terraform, CloudFormation). - Hands‑on knowledge of Docker, Kubernetes, and container orchestration. - Platform engineering mindset with a focus on developer experience. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent professional experience). - Relevant certifications (e.g., AWS Certified Solutions Architect, Certified Kubernetes Administrator) preferred but not mandatory.
London, United kingdom
On site
10-12-2025
Company background Company brand
Company Name
Harrison Clarke
Job Title
Senior Cloud Infrastructure Engineer
Job Description
**Job title:** Senior Cloud Infrastructure Engineer **Role Summary:** Design, scale, and maintain robust hybrid cloud and on‑prem data infrastructure that supports high‑traffic web and mobile platforms. **Expectations:** 4+ years of experience in SRE/DevOps or infrastructure roles, strong focus on cloud‑data solutions, rapid problem‑solving ability, proactive incident response, and a passion for long‑term sustainable architecture. **Key Responsibilities:** - Design and enhance highly available, scalable cloud infrastructure for web/mobile services. - Optimize and manage databases, caching, and load‑balanced servers across cloud deployments. - Develop and maintain automation, monitoring, and dashboards for system reliability in hybrid environments. - Participate in on‑call rotations, leading rapid incident response and proactive issue resolution. - Collaborate with engineering teams to implement secure, efficient, and scalable data solutions. **Required Skills:** - Cloud platforms (AWS or equivalent), infrastructure‑as‑code (Terraform, Ansible). - Containerization and orchestration (Docker, Kubernetes). - Scripting/Programming (Python, Go). - Database management (PostgreSQL, Redis) and caching strategies. - Strong debugging and problem‑solving in complex infrastructure environments. - Effective communication and teamwork across cross‑functional teams. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or equivalent. - Relevant certifications preferred (e.g., AWS Certified Solutions Architect, Kubernetes Administrator).
San francisco bay, United states
On site
Senior
11-12-2025
Company background Company brand
Company Name
Harrison Clarke
Job Title
Data Scientist
Job Description
**Job Title:** Data Scientist **Role Summary:** Analyze large, heterogeneous datasets to uncover insights on company and market performance; apply statistical, machine learning, and AI techniques to address investment and strategic questions; collaborate with senior stakeholders to frame hypotheses and communicate findings that shape long‑term decision‑making. **Expectations:** - Deliver high‑impact, hypothesis‑driven analyses that influence senior decision‑makers. - Operate independently through end‑to‑end problem framing, analytical execution, and executive storytelling. - Demonstrate fluency in turning raw, unstructured data into actionable intelligence. **Key Responsibilities:** - Clean, transform, and analyze messy, alternative datasets to extract insights. - Design and implement statistical models, machine learning pipelines, and AI solutions for portfolio and strategy evaluation. - Partner with senior leaders to define research questions, test hypotheses, and present results in clear, concise narratives. - Advise on data and AI practices that support strategic planning and long‑term investment decisions. **Required Skills:** - Proficiency in Python/R, SQL, and data‑wrangling libraries (pandas, dplyr, etc.). - Strong foundation in statistical methods, machine learning, and AI techniques. - Experience with large, heterogeneous data sources (alternative data, market feeds, etc.). - Excellent communication skills for storytelling to executive audiences. - Ability to navigate ambiguous problem spaces and work closely with senior stakeholders. **Required Education & Certifications:** - Bachelor’s degree (or higher) in Data Science, Statistics, Computer Science, Applied Mathematics, Economics, or related field. - Professional certification in data analytics, machine learning, or AI (e.g., Google Cloud Professional Data Engineer, SAS Certified Advanced Analytics Professional) is advantageous.
Menlo park, United states
Hybrid
26-01-2026