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Senior Staff Engineer, Data Platform

Location: Orange County, CA (Hybrid; minimum 3 days onsite)

Compensation: $180,000-$210,000

About the Company

A rapidly growing technology organization developing autonomous systems, advanced hardware platforms, and AI‑powered software solutions across air, sea, and land. The company builds mission‑critical systems used in real‑world, high‑performance environments where reliability and precision are essential.

The team has scaled from ~1,500 to nearly 8,000 employees over the past three years, supported by major long‑term programs. Engineers here work on deeply technical systems with significant operational and industry impact.

About the Role

The Senior Staff Engineer, Data Platform will serve as a technical leader responsible for the architecture, scalability, and reliability of the company’s core data platform. This is a high‑impact, high‑ownership role within a ~30‑person Data organization covering Analytics Engineering, Data Engineering, MDM, and Data Operations.

This position is ideal for experienced engineers who thrive in distributed systems, real‑time data flows, platform design, and cross‑functional technical leadership.

Key Responsibilities

• Own architectural direction and long‑term strategy for major data platform components
• Lead the design and development of new platform capabilities (approx. 70% of the role)
• Drive scaling, resiliency, and performance improvements to existing systems (approx. 30%)
• Architect and implement real‑time telemetry and streaming data pipelines
• Ensure sub‑minute latency delivery for operational and mission‑critical dashboards
• Define best practices for distributed systems, data engineering, and platform reliability
• Lead modernization of the company’s data lake and underlying storage infrastructure
• Develop system health, observability, and reliability frameworks
• Collaborate closely with engineering, analytics, hardware, and operations leaders
• Mentor and guide senior engineers and contribute to the team’s technical growth

Expected Impact in the First 6-12 Months

• Remove technical and architectural bottlenecks across the platform
• Increase platform reliability, throughput, and scale
• Deliver new real‑time operational data capabilities to internal stakeholders
• Establish clear ownership and accountability for key platform systems
• Strengthen cross‑functional alignment between software, hardware, and operations teams

Qualifications

Required Experience

• 8-10+ years of industry experience in software engineering or data platform engineering
• Proven ownership of large‑scale distributed systems or data platforms
• Experience engineering and modernizing data lake architectures
• Strong background in backend systems, distributed computing, and platform‑level design

Required Technical Skills

• Python
• SQL
• Java or Scala
• Apache Spark
• Kafka or Flink
• Strong distributed systems fundamentals and architectural depth

Preferred Experience

• Exposure to hardware or physical system telemetry data
• Infrastructure as Code experience
• Experience working in secure or constrained environments

Top Candidate Indicators

• Designed or owned architecture for high‑scale data or streaming platforms
• Built internal developer platforms or tooling
• Led reliability, scalability, or performance improvements at system‑level
• Influenced technical decision‑making across teams or organizations

Why This Role Is Important

As a Senior Staff Engineer, you will shape the future of a data platform supporting real‑time operational systems, large‑scale telemetry pipelines, and complex manufacturing workflows. This is an opportunity to lead high‑impact engineering initiatives in a fast‑growing, deeply technical environment.

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Senior Software Engineer, Data Platform

Location: Orange County, CA (Hybrid; minimum 3 days onsite)

Compensation: $150,000-$180,000

About the Company

A rapidly growing technology organization developing autonomous systems, advanced hardware platforms, and AI‑powered software solutions across air, sea, and land. The company builds mission‑critical systems used in high‑performance environments where reliability and precision are essential.

The organization has expanded from approximately 1,500 employees to nearly 8,000 over the past three years, driven by long‑term programs and accelerating platform growth. Engineers work on complex systems with significant real‑world impact.

About the Role

The Senior Software Engineer, Data Platform will help build and scale the company’s core data platform with a focus on real‑time processing, platform reliability, and distributed system architecture. This role sits within a ~30‑person Data organization, including Analytics Engineering, Data Engineering, MDM, and Data Operations.

The ideal candidate brings strong backend engineering skills combined with deep experience in data platform technologies.

Key Responsibilities

• Design and build new data platform capabilities (approx. 70% of the role)
• Scale, harden, and improve existing systems (approx. 30%)
• Develop real‑time telemetry and streaming data pipelines
• Deliver sub‑minute latency data to operational dashboards
• Implement high‑availability, fault‑tolerant distributed systems
• Modernize and expand the company’s data lake architecture
• Surface real‑time system health and performance metrics
• Collaborate with engineering, analytics, and operations teams
• Own and maintain critical components of the data platform

Expected Impact in the First 6-12 Months

• Reduce bottlenecks in architectural decision‑making
• Improve system scalability, reliability, and throughput
• Deliver new real‑time visibility features to internal users
• Establish clear ownership of platform components
• Support cross‑functional engineering alignment and best practices

Qualifications

Required Experience

• 6+ years of professional experience
• Strong blend of software engineering + data platform expertise
• Experience maintaining and evolving data lakes
• Deep understanding of distributed systems and backend architecture

Required Technical Skills

• Python
• SQL
• Java or Scala
• Apache Spark
• Kafka or Flink
• Distributed systems fundamentals

Preferred Experience

• Hardware or physical system data exposure
• Infrastructure as Code
• Experience in secure or constrained environments

Top Candidate Indicators

• Built internal tools or developer platforms
• Designed or operated streaming data systems
• Owned platform‑level architectural decisions
• Demonstrated measurable improvements in system reliability or scalability

Why This Role Is Important

You will own core components of a platform that powers real‑time operational systems, high‑scale hardware telemetry, and modern manufacturing workflows. This role offers the opportunity to work on deeply technical challenges with meaningful real‑world impact in a fast‑growing, engineering‑driven environment.

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Experimentation Specialist
London
Hybrid
Competitive salary up to £45,000 plus benefits

This is an exciting opportunity to join a data‑driven digital organisation where experimentation plays a central role in shaping product decisions. If you are passionate about A/B testing, tooling, and helping teams run high‑quality experiments at scale, this role gives you the platform to make a real impact.
The Company
They are a large, fast‑moving retailer with a strong focus on digital innovation. Their teams work collaboratively to improve customer experience through data, technology and continuous optimisation. Experimentation is a key lever in their decision‑making process, and they are investing heavily in building a best‑in‑class testing ecosystem. You will join a supportive environment where learning, growth and cross‑functional collaboration are part of everyday work.
The Role
In this role, you will:
* Promote and embed experimentation best practice across product, engineering and analytics teams.
* Support the setup and execution of experiments using approved experimentation platforms.
* Advise on client‑side and server‑side testing, including feature flag approaches.
* Validate tracking, data quality and exposure logging alongside analytics teams.
* Identify and resolve configuration or tracking issues before launch.
* Run experiment readiness checks covering metrics, audiences and implementation quality.
* Collaborate with engineering and data teams to improve experimentation tooling.
* Contribute to documentation and enablement resources that uplift experimentation maturity.
Your Skills and Experience
You will bring:
* Strong commercial experience building experiments using HTML, JavaScript and CSS.
* Hands‑on experience with platforms such as Optimizely, AB Tasty, Monetate or Dynamic Yield.
* A strong understanding of A/B testing concepts and feature flag workflows.
* A focus on data quality, tracking and experimentation governance.
* The ability to troubleshoot technical issues and communicate effectively with cross‑functional teams.
* Experience in ecommerce or digital product environments is beneficial but not essential.
What They Offer
* Competitive salary depending on experience.
* A fast‑paced environment with clear opportunities for progression.
* Access to learning resources, wellbeing support and internal development programmes.
* The chance to contribute to a high‑visibility experimentation function with real impact on product and customer experience.
How to Apply
If this sounds like the right next step for you, apply today to be considered.

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Senior Analytics Consultant

Fully Remote in The UK

£60,000-£65,000 + Bonus + Shares/Equity

I’m working exclusively with a fast-growing, self-funded analytics consultancy specialising in marketing effectiveness, digital insight and media performance; now in their 5th year, they’ve built a strong retained client base, including a long-term strategic partnership relationship with a major global pharmaceutical group. Following recent leadership meetings and a strong, accelerating sales pipeline, this is a genuine growth hire as the business scales sustainably; they’re now seeking a Senior Analytics Consultant to aid continued growth!

The Team

You’ll report into the Analytics Director and work closely with the two co-founders. This is not a management role, but you will mentor and deliver through others; shaping output quality, raising analytical standards and influencing client thinking. The leadership team are hands-on and highly supportive, and this role sits right at the heart of their most important client relationships

The Role

This is a relationship-led senior analytics role focused on managing key accounts through data.

You will:

• Own and develop senior client relationships across a subset of global pharma brands
• Deliver ~2 major insight outputs per month
• Build on existing frameworks and deepen commercial impact
• Develop and implement measurement frameworks with global agency partners
• Evaluate digital marketing & media effectiveness (site performance, media impact, channel ROI)
• Challenge and validate media agency outputs; cutting through noise to what matters
• Present confidently to Marketing Directors & CMO-level stakeholders
• Think on your feet with data in high-level discussions
• Contribute to pitches and account growth
• Help shape new methodologies and internal data products

Your Skills & Experience

• Digital Analytics Expertise – Adobe preferred but not essential
• Proven experience managing senior stakeholders through data
• Ability to challenge and validate agency work constructively

The Benefits

• £60,000-£65,000
• Bonus – up to 20%
• Equity participation scheme

How to Apply

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

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Founding AI Engineer

San Francisco, CA (Hybrid/On‑site preferred)
Founding Team * Full‑Time
$250,000-$300,000 salary + equity

About the Role

I’m looking for a hands‑on Founding AI Engineer to build and ship the core AI systems that will drive the product forward. Your work will center on fine‑tuning large language models, designing and owning training pipelines, and deploying models that perform reliably in real‑world production environments.

This role is ideal for someone who loves building: running experiments, writing code, optimizing models, and taking features from early prototype to fully deployed. You’ll work directly with me, help define our technical direction, and make an outsized impact from day one.

What You’ll Do

• Fine‑tune and adapt leading LLMs (OpenAI, Claude, Llama, Mistral, OSS) for production use cases.

• Build hands‑on data pipelines for SFT, DPO, LoRA, RL methods, and synthetic data generation.

• Design evaluation systems to measure accuracy, reliability, grounding, and hallucination reduction.

• Develop high‑performance inference infrastructure (quantization, batching, GPU optimization).

• Own the full lifecycle of ML features: modeling → pipelines → infra → deployment.

• Rapidly experiment, iterate, and improve model performance with tight feedback loops.

• Collaborate with me on architecture decisions and product direction.

What I’m Looking For

• Strong experience fine‑tuning and deploying LLMs in production.

• Deep ML engineering skills: Python, PyTorch, transformers, distributed/accelerated training.

• Comfort handling messy, real‑world data and building robust pipelines.

• Ability to move quickly, make informed tradeoffs, and deliver production-quality systems.

• A builder’s mindset-resourceful, execution‑driven, and energized by 0→1 challenges.

⭐ Bonus Points

• Experience with agentic systems, tool‑calling, or structured reasoning workflows.

• Background in MLOps, model evaluation frameworks, or GPU-aware engineering.

• Early‑stage startup or founding-team experience.

Why Join

• Founding-level equity with meaningful ownership.

• Massive responsibility and autonomy over the AI systems at the heart of the product.

• Freedom to experiment, move fast, and push the boundaries of what LLMs can do.

San Francisco, CA (Hybrid/On‑site preferred)
Founding Team * Full‑Time
$250,000-$300,000 salary + equity

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Head of AI – San Francisco, CA

Start-up‑Focused Role – $280,000-$320,000 + Equity

About the Role

A fast‑moving startup is seeking a Head of AI to build and lead its artificial intelligence function from the ground up. This is a high‑ownership role designed for someone who thrives in early‑stage environments, moves quickly, and is excited to shape both technical direction and company culture.

What You’ll Do

• Own the entire AI strategy and roadmap, guiding the evolution from early prototypes to scalable production systems.
• Design, train, fine‑tune, and deploy AI/ML models end‑to‑end, remaining hands‑on through early growth phases.
• Build and lead the AI organization – hiring, mentoring, and establishing team structure and best practices.
• Rapidly experiment and iterate, balancing scrappy execution with thoughtful long‑term architecture.
• Establish all AI infrastructure, including data pipelines, training workflows, model hosting, and MLOps foundations.
• Collaborate closely with founders and product/engineering teams to identify high‑impact AI opportunities.
• Implement responsible AI practices from day one, ensuring safety, reliability, robustness, and transparency.
• Evaluate and integrate emerging AI technologies, including LLMs, agentic systems, and multimodal architectures.
• Set standards for experimentation, evaluation, benchmarking, and deployment, optimizing for speed and quality.

What Makes You a Great Fit

• 7-10+ years in AI/ML with significant hands‑on experience building and deploying real systems.
• A track record of shipping AI products or infrastructure in a startup or small‑team environment.
• Deep understanding of LLMs, modern ML frameworks, retrieval systems, data engineering, and model evaluation.
• Ability to move fast while maintaining strong engineering discipline.
• Comfort operating in ambiguity and making high‑impact decisions without perfect information.
• Natural leadership instincts with the ability to both set vision and execute.
• Advanced degree in ML/CS or equivalent practical experience.

Bonus Experience

• Previous experience as a founding ML engineer or early technical leader.
• Direct experience training, fine‑tuning, or analyzing LLMs, multimodal models, or agents.
• Familiarity with lightweight startup‑friendly ML infrastructure (e.g., serverless inference, vector search, lean MLOps).
• Demonstrated ability to build quickly while maintaining high safety and reliability standards.

Location

San Francisco, CA – hybrid role; in‑person collaboration preferred during early team formation.

Head of AI – San Francisco, CA

Start-up‑Focused Role – $280,000-$320,000 + Equity

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Senior AI Engineer

Sheffield – 1-2x week in office

Salary: £80,000 – £90,000

This is an exciting opportunity to join a business that is investing heavily in AI and modern cloud technologies. You will play a key role in building AI‑driven products that have a direct impact on customer experience, operational efficiency and the future of their platform.

The Company

They are a tech‑forward insurance organisation with a strong focus on delivering smarter, more personalised digital products. Their teams combine data, engineering and customer expertise to create solutions that simplify complex challenges for their users. Innovation, collaboration and a flexible working culture are at the heart of how they operate. They continue to scale their AI capability and are looking for someone who can help shape this next phase of growth.

The Role

In this AI Platform Engineer role, you will:

* Design, build and operate AI‑first products that deliver measurable value.

* Develop and deploy production‑grade AI agents on GCP using ADK, integrating with internal systems via REST and JSON APIs.

* Build and maintain robust evaluation and monitoring frameworks, including online and offline testing, A/B experiments and performance dashboards.

* Integrate AI agent functionality with applications through MCP servers and reliable tool configurations.

* Develop secure and scalable RAG pipelines, including ingestion, text processing, metadata handling and vector search in GCP.

* Embed security, compliance, GDPR controls and best‑practice engineering with clear documentation and stakeholder collaboration.

Your Skills and Experience

To be successful, you will bring:

* Strong Python skills for backend services, SDKs, API development, authentication and testing.

* Hands‑on experience working with LLMs, embeddings, prompt engineering, tool calling and RAG design.

* Practical knowledge of GCP services including Vertex AI, Model Garden, BigQuery, Cloud Run and Google’s ADK.

* Experience with document and data processing using tools such as Apache Tika, plus storage or caching technologies like Postgres, Redis, GCS or BigQuery.

* Solid DevOps practices including CI/CD, Docker, observability and automated testing.

* A product‑led mindset with a strong understanding of security, IAM, auditability and defining success metrics.

What They Offer

* Opportunities to shape AI products from the ground up.

* A collaborative environment that encourages innovation and career progression.

How to Apply

If you are excited about building production‑ready AI systems and want to drive meaningful impact, please apply with your CV.

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Lead AI Engineer $250-300k + Equity – San Francisco Bay Area | Hybrid

Early-Stage Startup – Full-Time – AI Engineering

Join a fast-growing early‑stage startup building a next‑generation, AI‑native design‑to‑code platform. The team is creating a new category of design tooling where code renders directly as design, real-time AI is deeply embedded into the workflow, and designers work directly in the medium that ships to production.

We are now hiring a Lead AI Engineer as the first dedicated AI specialist on the team-owning the model layer, driving fine‑tuning strategy, and building custom SLMs that power a highly interactive, high‑performance product.

The Role

As the Lead AI Engineer, you’ll take end‑to‑end ownership of model development, optimization, deployment, and evaluation. This is a hands-on, production-focused role where you will build and maintain the AI systems at the core of the product experience.

You’ll work at the intersection of models, systems, and product-shipping production-grade AI features, shaping technical direction, and establishing best practices for evaluation and performance.

What You’ll Do

Model Fine‑Tuning & Specialization

• Lead fine‑tuning efforts across LoRA, adapters, distillation, and full fine‑tuning
• Decide when fine‑tuning, prompting, or system‑level approaches are most appropriate
• Iterate models based on real product signals and user feedback
• Balance quality, latency, reliability, and cost

Model Optimization & Performance

• Optimize inference speed, throughput, and per‑request cost
• Improve model determinism, consistency, and real-time responsiveness
• Define and maintain benchmarking, evaluation, and observability frameworks

Custom SLM Development

• Build small, fast language models tailored for design and code-generation workflows
• Identify use cases where SLMs outperform larger models
• Maintain and evolve SLMs in production environments

What You’ll Build

• Fine‑tuned models for design-to-code generation
• Custom SLMs for narrow, high‑precision workflows
• Real-time, streaming AI features inside a design environment
• Multi-step agentic systems supporting “prompt-as-cursor” and next‑in‑flow interactions

How You’ll Work

• ~80% hands‑on coding, 20% systems-level strategy
• Full lifecycle ownership: scoping → experimentation → deployment → monitoring → iteration
• Close collaboration with engineering and product leadership
• Operate within a highly senior, fast-moving engineering team
• Ideal for builders coming from AI‑native, high‑velocity environments

What We’re Looking For

Must-Have Experience

• 5+ years software engineering
• 2+ years hands‑on work with LLMs in production
• Proven fine‑tuning experience (LoRA, distillation, adapters, full fine‑tuning)
• Strong Python and TypeScript/Node.js skills
• Experience deploying custom models end‑to‑end
• Understanding of inference optimization and performance tradeoffs
• Experience with model evaluation and benchmarking

Nice-to-Haves

• ONNX Runtime
• Redis
• WebSockets
• LangChain or similar orchestration tools
• Model optimization and compression techniques
• LLM observability tooling

Ideal Background

• Experience in AI-native product startups (Seed → Series B/C)
• Work in code generation, developer tools, design tooling, or AI automation
• Strong applied experience shipping models to production at speed

How to Apply

If this role aligns with your experience and interests, please reach out with your Resume or LinkedIn profile. I would welcome a confidential conversation to explore whether it’s the right fit.

Lead AI Engineer $250-300k + Equity – San Francisco Bay Area | Hybrid

Early-Stage Startup – Full-Time – AI Engineering

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Lead AI Engineer

£80,000 – £90,000

Sheffield (Hybrid, 1-2 days a week)

A rare opportunity to step into a Lead level role where you will shape a new AI function and play a direct role in transforming how a digital insurer operates. You will build production grade AI systems, influence architecture, and drive agentic automation with a clear path to impact and visibility.

THE COMPANY

They are a technology driven insurance provider specialising in complex and non-standard home risks. Their model blends advanced AI capability with digital platforms to deliver a faster, smarter customer experience. You would be one of the first hires into this team, joining at a genuinely pivotal moment

THE ROLE

As a Lead AI Engineer you can expect to be involved in the following:

• Build production-ready AI agents on GCP using modern frameworks and Google’s ADK.
• Develop scalable RAG pipelines spanning ingestion, text processing and vector search.
• Integrate AI systems into policy, claims and CRM platforms through REST and JSON APIs.
• Implement monitoring, evaluation, A/B testing and cost or latency dashboards.
• Contribute to broader AI architecture and help shape engineering patterns and strategy.
• Work closely with engineering, ML Ops and data teams to bring models and prototypes into stable, scalable production.

SKILLS AND EXPERIENCE

The successful Lead AI Engineer will have the following skills and experience:

• Strong commercial experience in AI engineering, ML engineering, data engineering or software engineering with applied AI delivery.
• Deep expertise in GCP including Vertex AI, BigQuery, Cloud Run or Functions and related tooling.
• Strong Python skills and experience developing APIs and production AI systems.
• Hands on experience with LLMs, embeddings, RAG, vector databases and retrieval frameworks.
• Familiarity with LangChain, LangGraph or similar agentic frameworks.
• Solid engineering fundamentals including Docker, Kubernetes and CI/CD.

BENEFITS

The successful Lead AI Engineer will receive the following benefits:

• Salary between £80,000 – £90,000 – depending on experience
• Hybrid working with 1-2 office days in Sheffield.

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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Senior Software Engineer – Lua

Remote (US) | $200,000 – $280,000 base + equity + benefits

A market leader in cloud infrastructure and developer tooling is seeking a Senior Software Engineer to help design, scale, and optimize a next-generation global CDN. This team builds the backbone of high-performance web delivery-handling billions of requests per day and powering some of the fastest, most reliable online experiences in the world.

The Role

As part of the CDN Infrastructure team, you’ll build and enhance distributed systems that make the internet faster and more resilient. You’ll design large-scale systems, write production-grade code, and work closely with product and infrastructure engineers to deliver high-impact improvements in routing, caching, and network performance.

What You’ll Do

• Design, implement, and optimize new CDN features and edge performance improvements
• Diagnose and reduce latency across a global network serving petabytes of data
• Improve reliability and scalability for billions of daily requests
• Build internal tools and workflows for infrastructure developers (primarily in Lua)
• Collaborate across teams to deliver next-generation web infrastructure

What We’re Looking For

• 5+ years of professional experience with Lua
• Deep understanding of HTTP, web servers, and CDN architecture
• Proven experience with distributed systems and large-scale performance optimization
• Strong problem-solving skills and a passion for experimentation
• Bonus: experience with Golang or other backend languages

Why Join

• Work on systems that serve petabytes of data and billions of requests daily
• Competitive compensation including equity and full health coverage
• Flexible, remote-friendly work environment
• Opportunity to shape the next generation of internet-scale infrastructure

To Apply for this Job Click Here

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Staff Machine Learning Scientist

Location: SF Bay Area – Hybrid (3 days/week onsite)

Salary: $200-260k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.

What You’ll Do

• Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
• Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
• Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
• Experiment with emerging AI techniques, including GenAI, computer vision, and LLMs, to push the boundaries of what’s possible on the platform.
• Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.

What You Bring

• 7-10 years of experience building, deploying, and maintaining ML models at scale.
• Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
• Proven track record in consumer tech or large-scale marketplaces companies.
• Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
• Background in user behavior modeling, search relevance, or real-time data systems.
• Strong foundation in experimentation (A/B testing), statistics, and applied ML.
• Exceptional communication skills and the ability to translate technical insights into business value.

• Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

To Apply for this Job Click Here

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Senior Data Analyst

Remote (US Based)

$150-170k base salary

A mission driven SaaS company supporting thousands of nonprofit organizations is expanding its data and analytics capability. The platform powers donor management, fundraising, and payments, helping nonprofits strengthen communities and drive real impact. As the business scales, data is becoming central to decision making across the organization.

The Role:

This Senior Data Analyst role offers true end to end ownership of analytics. You will work across data modeling, analytics engineering, reporting, and stakeholder enablement, with a clear focus on moving the business from reactive reporting to forward looking, insight driven analysis.

You will be embedded within the Finance organization and partner closely with leaders across Finance, Sales, GTM, RevOps, and Product. This is a senior individual contributor role with scope to grow into people leadership as the data function matures.

What you will do:

• Own the analytics stack end to end, from data modeling in Snowflake to dashboards in Metabase
• Build and maintain high quality data models that support trusted reporting and analysis
• Lead the move away from legacy BI tools and establish a single source of truth
• Deliver self service dashboards for Finance, GTM, RevOps, and Product teams
• Partner with stakeholders to translate business questions into scalable analytics solutions
• Proactively surface insights that influence strategy and decision making
• Improve data quality, consistency, and usability across the analytics layer
• Help shape analytics standards, tooling, and best practices
• Support the evolution toward predictive and forward looking analytics

What we are looking for:

• Five to seven plus years of experience in analytics, data analysis, or analytics engineering
• Strong SQL skills with hands on Snowflake experience
• Experience building dashboards in Metabase
• Proven strength in data modeling and owning analytics foundations end to end
• Experience working cross functionally with Finance, Sales, GTM, RevOps, and Product
• Ability to operate independently and take full ownership of analytics domains
• Experience with dbt, experimentation, forecasting, or predictive analytics is a plus
• Interest in AI enabled analytics and modern data tooling
• Strong communication skills with non technical stakeholders

This role is ideal for a senior analyst who wants ownership, visibility, and the opportunity to shape how data is used across a growing SaaS organization with a strong social mission.

To Apply for this Job Click Here