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Senior Manager of Marketing & Product Analytics

Location: San Francisco (Hybrid)

Salary: $260-300k base + Equity

Join one of the fastest-growing AI companies in the world-a $3B+ Series E SaaS leader transforming enterprise operations through intelligent automation. We’re looking for a Senior Manager of Analytics to own and scale a high-impact, cross-functional analytics team spanning Product, Marketing, and Finance.

This is a rare opportunity to lead at the intersection of business strategy and data, partnering with executive leadership to drive growth, optimize performance, and turn insights into action across the organization.

What You’ll Do

• Lead Analytics Across Marketing and Product: Own the roadmap, reporting, and insights across Marketing and Product teams-guiding campaign strategy, customer segmentation, feature development, and monetization.
• Optimize the Customer Journey: Deliver full-funnel analytics across paid media, organic channels, website behavior, and in-product engagement. Identify friction points and accelerate activation, conversion, and retention.
• Enable Experimentation and A/B Testing: Partner with Growth and Product leaders to design and analyze high-velocity experiments across the marketing funnel and product experience.
• Build Scalable Data Systems: Lead the design of metrics frameworks, dashboards, and experimentation infrastructure to deliver self-serve analytics and real-time visibility.
• Drive Stakeholder Alignment: Translate complex data into clear, actionable insights for executive stakeholders. Influence marketing strategy, product roadmap, and resource allocation with data-backed recommendations.

What We’re Looking For

• 10+ years of experience in analytics roles with a strong focus on Marketing, Growth, and Product Analytics-ideally within high-growth SaaS or AI-first companies.
• 4+ years of people leadership experience, with a track record of building, mentoring, and scaling high-performing analytics teams.
• Deep technical fluency in SQL, with hands-on experience using modern analytics stacks (e.g., Snowflake, dbt, Fivetran, Hex, Sigma, Looker, Hashboard).
• Strong proficiency in Python or R, with expertise in statistical analysis, experimentation, and causal inference.
• Extensive experience in channel performance analysis, LTV/CAC modeling, attribution, and funnel optimization.
• Strong communicator with a strategic mindset-comfortable working cross-functionally and presenting to C-level audiences.
• Passion for working in fast-paced environments and building clarity in ambiguity through data.

Why Join

• Shape the future of marketing and product strategy at one of the world’s fastest-growing AI companies.
• Join a company where data is core to every decision-with direct access to executives and meaningful ownership of high-impact initiatives.
• Competitive base, strong equity package, and a mission-driven culture focused on outcomes and innovation.

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Marketing Analyst

Location: San Francisco (Hybrid)

Salary: $200,000-$250,000 Base + Bonus + Equity

Join a high-growth SaaS innovator backed by top-tier investors as they scale their Marketing Analytics capabilities to power the next phase of growth. This Staff Marketing Analyst position sits at the intersection of data, marketing, and business strategy-delivering the insights that drive pipeline, accelerate conversion, and optimize customer acquisition across all go-to-market motions.

THE ROLE

As a Staff Marketing Analyst, you’ll own the strategy, architecture, and execution of marketing analytics. You’ll partner closely with Growth, Demand Gen, Digital, and Product Marketing teams to define KPIs, analyze performance, and bring visibility to what’s working and what’s not. Your work will influence campaign spend, GTM roadmap, and executive decision-making.

Key Responsibilities:

• Define and evolve core marketing metrics across the funnel: acquisition, pipeline velocity, ROI, CAC, and attribution.
• Deliver clear, actionable insights through in-depth analysis of cross-channel campaigns (digital, paid, content, lifecycle).
• Build scalable dashboards and automated reporting to support real-time visibility for GTM leaders.
• Partner with RevOps and Sales Analytics to align marketing efforts with revenue impact and customer segmentation.
• Identify optimization opportunities through experimentation frameworks, A/B testing, and customer behavior modeling.
• Develop and maintain clean, well-modeled marketing data sets for long-term scalability and growth analysis.

ABOUT YOU

Required:

• 7+ years of experience in analytics, with a strong track record in Marketing or GTM Analytics at a SaaS or high-growth tech company.
• Advanced SQL skills and deep experience with BI tools like Looker, Mode, or Hashboard. Experience with Python or R a plus.
• Strong understanding of modern SaaS marketing channels and KPIs (e.g. MQL, SQL, pipeline contribution, CAC, LTV).
• Strategic thinker with the ability to translate complex data into simple insights and present them to cross-functional stakeholders.
• Comfortable operating independently in a fast-paced, collaborative environment where priorities evolve quickly.

WHAT’S ON OFFER

• High-impact, high-visibility role with ownership across the full marketing analytics stack.
• Competitive compensation and equity at a top-performing AI-driven SaaS brand.
• Opportunity to shape analytics foundations and influence GTM strategy at scale.
• Collaborative culture, modern tech stack, and hybrid flexibility in SF.

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Marketing Analyst

Location: New York (Hybrid)

Salary: $200,000-$250,000 Base + Bonus + Equity

Join a high-growth SaaS innovator backed by top-tier investors as they scale their Marketing Analytics capabilities to power the next phase of growth. This Staff Marketing Analyst position sits at the intersection of data, marketing, and business strategy-delivering the insights that drive pipeline, accelerate conversion, and optimize customer acquisition across all go-to-market motions.

THE ROLE

As a Staff Marketing Analyst, you’ll own the strategy, architecture, and execution of marketing analytics. You’ll partner closely with Growth, Demand Gen, Digital, and Product Marketing teams to define KPIs, analyze performance, and bring visibility to what’s working and what’s not. Your work will influence campaign spend, GTM roadmap, and executive decision-making.

Key Responsibilities:

• Define and evolve core marketing metrics across the funnel: acquisition, pipeline velocity, ROI, CAC, and attribution.
• Deliver clear, actionable insights through in-depth analysis of cross-channel campaigns (digital, paid, content, lifecycle).
• Build scalable dashboards and automated reporting to support real-time visibility for GTM leaders.
• Partner with RevOps and Sales Analytics to align marketing efforts with revenue impact and customer segmentation.
• Identify optimization opportunities through experimentation frameworks, A/B testing, and customer behavior modeling.
• Develop and maintain clean, well-modeled marketing data sets for long-term scalability and growth analysis.

ABOUT YOU

Required:

• 7+ years of experience in analytics, with a strong track record in Marketing or GTM Analytics at a SaaS or high-growth tech company.
• Advanced SQL skills and deep experience with BI tools like Looker, Mode, or Hashboard. Experience with Python or R a plus.
• Strong understanding of modern SaaS marketing channels and KPIs (e.g. MQL, SQL, pipeline contribution, CAC, LTV).
• Strategic thinker with the ability to translate complex data into simple insights and present them to cross-functional stakeholders.
• Comfortable operating independently in a fast-paced, collaborative environment where priorities evolve quickly.

WHAT’S ON OFFER

• High-impact, high-visibility role with ownership across the full marketing analytics stack.
• Competitive compensation and equity at a top-performing AI-driven SaaS brand.
• Opportunity to shape analytics foundations and influence GTM strategy at scale.
• Collaborative culture, modern tech stack, and hybrid flexibility in NYC.

To Apply for this Job Click Here

To Apply for this Job Click Here

Job Title: Director of Data Science – Biopharma Commercial Analytics
Location: Hybrid – San Francisco Bay Area
Salary: $250-300k base + bonus + equity

Drive the Commercial Data Science Strategy for a High-Growth Digital Health Innovator

Join a mission-driven health tech company redefining how the biopharma industry uses data to drive access, adherence, and market success. This is a unique opportunity to lead the data science function at a fast-scaling, venture-backed startup and shape the next generation of commercial analytics tools and ML-powered insights.

The Role

As Director of Data Science, you’ll lead a team of Data Scientists and Analytical Data Engineers responsible for delivering impactful analytics and machine learning solutions across the commercial lifecycle. You’ll operate as a strategic partner across Product, Customer Experience, and Go-to-Market teams, influencing everything from AI product features to patient access strategies.

Key Responsibilities:

• Build, mentor, and scale a high-performing data science team with a focus on commercialization in the biopharma space
• Lead the development of predictive models and ML algorithms to solve problems in Market Access, Patient Services, and Field Force Optimization
• Own the architecture, data models, and pipelines supporting scalable advanced analytics in a multi-tenant SaaS environment
• Partner with Product and Commercial leaders to translate client needs into intelligent analytics tools and embedded insights
• Present findings and influence decisions at the VP and executive level, internally and with client stakeholders
• Ensure code quality, security, and compliance across deployed models and analytics products
• Monitor trends in commercial analytics, generative AI, and regulatory standards to drive innovation

Your Background

Required Experience:

• 7+ years in biopharma or life sciences commercial analytics, including direct experience in Market Access, Commercial Ops, or Patient Services
• Advanced expertise in machine learning techniques (e.g., regression, classification, forecasting, NLP, A/B testing) applied to real-world commercial use cases
• Proficient in Python and SQL; experience with Snowflake, dbt, and Snowpark highly valued
• Strong understanding of data sets common to biopharma (specialty pharmacy, claims, HCP targeting, CRM, etc.)
• 3+ years managing and scaling high-impact Data Science teams in high-growth or enterprise health tech environments
• Proven record of driving measurable business outcomes through ML/AI-powered solutions
• Excellent cross-functional communication skills; ability to bridge technical depth with commercial strategy
• M.S. or Ph.D. in a quantitative discipline (e.g., Data Science, Engineering, Statistics, Computer Science)

Preferred Qualifications:

• Familiarity with HIPAA, SOC2, HITRUST, or other healthcare regulatory frameworks
• Experience working in AWS-based cloud environments
• Exposure to LLMs, agentic AI frameworks, or AI-enhanced product features
• Background in specialty data integration (e.g., hub services, reimbursement workflows)

What’s On Offer

• Executive-level role shaping the analytics vision for a fast-scaling digital health company
• Competitive compensation, performance bonus, and equity in a high-growth startup
• High-impact work that directly improves patient outcomes and access
• Collaborative and mission-driven culture at the intersection of healthcare and AI
• Opportunity to influence product strategy and drive adoption of next-generation commercial analytics tools

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Director – Applied AI Research (LLMs / NLP for Enterprise Solutions)
Company: Global AI & Compliance Software Leader
Total Comp up to $570K

Mission:

We’re partnering with a global leader in AI-driven SaaS solutions to find a Senior Director of Applied Research. This is a mission-critical leadership role overseeing the AI/ML research strategy for complex enterprise applications in the corporate Tax & Trade domain.

You will be responsible for driving innovation at scale: leading teams, shaping strategy, and owning delivery of AI features powered by NLP, LLMs, and Intelligent Agent frameworks. You’ll work cross-functionally to transform AI concepts into real-world features integrated into enterprise platforms used by Fortune 500 clients.

This role combines hands-on technical leadership with strategic product influence, and is ideal for someone with deep experience in turning advanced research into commercial impact, especially in regulated, content-rich environments.

Key Missions:

• Lead a large team of scientists and engineers through the full ML lifecycle
• Build scalable AI/NLP features for intelligent assistants and classification tools
• Champion innovation using LLMs, RAG, and AI agent frameworks
• Align with product and executive stakeholders to define strategic priorities
• Represent the AI vision internally and externally (including client conversations)
• Create a high-performance team culture rooted in curiosity and delivery

Ideal Background:

• 10+ years in AI/NLP system development; 5+ years in leadership roles
• Enterprise experience with AWS-based ML systems in production
• Deep understanding of LLM integration and agentic architecture design
• Excellent communicator and stakeholder manager
• Strong academic grounding (PhD or similar) and bonus: research publications

To Apply for this Job Click Here

To Apply for this Job Click Here

Director of Applied Research – AI & NLP Leadership
Global SaaS & Data Intelligence Leader
Up to $570K

Mission:

We’re hiring a Director of Applied Research to spearhead next-generation AI innovation in the Tax & Trade compliance space for one of the world’s leading data & software providers. This position sits at the intersection of AI strategy, people leadership, and real-world product delivery.

In this role, you will lead a team of 20+ Applied Scientists and Research Engineers, driving the development of cutting-edge NLP and LLM-based features embedded in AI-powered assistants and classification systems used by global enterprises. You’ll shape and deliver the roadmap for intelligent automation, collaborating with cross-functional leaders in Product, Engineering, UX, Editorial and Marketing.

This is a high-impact leadership role with strategic influence across product lines, requiring both technical depth and organizational maturity. You’ll ensure scientific excellence, drive scalable production implementation (AWS), and champion a culture of innovation, collaboration and delivery.

Key Responsibilities:

• Lead, grow, and mentor a high-performing applied research team
• Own the end-to-end delivery of advanced ML/NLP features in production systems
• Drive the AI vision for enterprise-grade Tax & Trade compliance products
• Collaborate with senior product, technology, and business stakeholders
• Translate state-of-the-art research into scalable, customer-centric solutions
• Oversee a portfolio of initiatives, managing scope, budget, and staffing

Profile Sought:

• 10+ years in applied AI/ML/NLP roles (commercial / productized environments)
• 5-8 years of management experience (ideally in matrixed or global organizations)
• Proven track record deploying ML/NLP systems in production (preferably on AWS)
• Experience with LLMs, RAG, agentic frameworks, and AI assistant technologies
• Executive-level communication and cross-functional leadership
• PhD or equivalent expertise in a relevant field (AI, ML, NLP, IR)
• Bonus: Publications in top-tier conferences (ACL, NeurIPS, EMNLP, etc.)

To Apply for this Job Click Here

To Apply for this Job Click Here

Backend Software Engineer
FinTech AI Startup | NYC (Hybrid)
$160,000 – $180,000 + Equity

Join a fast-growing, venture-backed AI startup on a mission to revolutionize cloud financial optimization. Based in New York’s West Village, this company is automating one of the most complex cost centers in tech. Their proprietary AI platform combines machine learning, automation, and intelligent rate optimization to help companies scale efficiently.

With recent funding secured and major growth on the horizon, they’re hiring a Backend Engineer to help scale the core infrastructure and build out a suite of API-driven, data-intensive microservices.

THE ROLE

This is a high-impact backend engineering role sitting at the intersection of software, infrastructure, and data. You’ll be working across multi-cloud environments (primarily AWS), building scalable systems for data processing, financial modeling, and automation.

You’ll work closely with the CTO and a lean team of highly skilled engineers (currently 6 total).

Expect fast build cycles, flexible working hours, and ownership from day one.

What you’ll be doing:

• Build and maintain scalable microservices using Python and serverless AWS technologies
• Design high-performance APIs and endpoints for real-time data retrieval
• Architect cloud-native infrastructure using Terraform (IaC)
• Own CI/CD workflows using GitLab Actions
• Develop and optimize large-scale data pipelines for AI/ML financial insights
• Ensure robust API security (OAuth/OpenAPI) and cloud compliance standards

THE TECH STACK

• Languages: Python, SQL
• Cloud: AWS (with exposure to GCP a plus)
• Infra: Docker, Kubernetes, Terraform
• Pipelines: ETL, unstructured-to-structured data transformation
• CI/CD: GitLab Actions

YOUR BACKGROUND

Must-haves:

• 4+ years’ experience in software engineering with cloud and data focus
• Strong expertise in AWS and Terraform
• Proven track record building data pipelines and backend APIs
• Experience working with unstructured data at scale
• Deep understanding of infrastructure and cloud cost considerations
• Clear communicator, team-first, thrives in fast-paced environments

Nice-to-haves:

• Startup experience
• Machine learning integration exposure
• GCP or multi-cloud experience
• AWS certifications

Not the right fit if: You come from a heavily siloed or large enterprise/consulting background where breadth of technical ownership was limited.

WHY JOIN?

• Equity in a fast-scaling, AI-driven FinTech
• Opportunity to join at Series A, own critical parts of the platform
• CTO-led engineering culture: collaborative, ego-free, impact-first
• Flexible hybrid model (3 days in office, no set days)
• Tech-first environment with diverse challenges-no siloes here

Perks:

• Unlimited PTO + mandatory company shutdowns in August & December
• 16-week fully paid parental leave
• 30-day sabbatical every 4 years
• Premium healthcare (75% employer-covered)
• Work-from-office in the heart of West Village
• Startup pace with mature engineering culture

INTERVIEW PROCESS

1. 15-min intro with CTO – explore your background & engineering approach
2. 30-min technical/behavioral interview – live coding + problem-solving
3. Take-home assignment (~2 hours)
4. Review session with CTO
5. Final interview with co-founders/team (remote or onsite)

They move fast-can wrap everything up within two weeks

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal Software Engineer – Edge Systems & Real-Time Computing
Remote (U.S. Based) | Up to $200,000 Base + Equity

THE COMPANY
We’re working with a fast-growing, mission-led technology company tackling real-world industrial challenges using a combination of edge computing, real-time analytics, and computer vision. Their product helps frontline operators in safety-critical environments make faster, more informed decisions-helping prevent equipment failure and improve on-site reliability.

The business is well-funded, backed by experienced leadership, and already delivering results in high-stakes industries. With a strong foundation in place, they’re now seeking a senior systems engineer to provide technical leadership, hands-on support, and mentorship as they scale.

THE ROLE
This is a high-impact, senior engineering position focused on building performant, real-time systems that operate on hardware in the field. You’ll work closely with the Head of Engineering to shape architecture, review and write production-level code, and help mentor more junior engineers. The ideal candidate is a seasoned systems thinker who’s confident working across hardware/software boundaries and enjoys solving deep engineering challenges under real-world constraints.

Key Responsibilities:

• Design and build software deployed on embedded or edge hardware platforms

• Optimize real-time processing pipelines for performance and reliability

• Collaborate with other engineers on system architecture and integration

• Contribute to observability, testing, and deployment of edge systems

• Provide hands-on mentorship to a small, talented engineering team

• Own and refine best practices for high-quality, maintainable code

YOUR SKILLS & EXPERIENCE
We’re looking for someone with a strong background in systems-level engineering, who’s deployed production code to hardware (not just the cloud), and is passionate about writing reliable, efficient software.

Essential Requirements:

• Deep Linux knowledge, especially around OS-level performance and debugging

• Strong programming ability in Python (must be a core engineering language for you)

• Experience shipping software to real-world devices (e.g., IoT, robotics, industrial systems)

• Track record of solving complex engineering problems with clarity and quality

• Comfort working independently and guiding others technically

Nice to Have:

• Exposure to computer vision or sensor-based systems

• Experience with image/video processing at the edge

• Familiarity with modern deployment tools for embedded/edge software

• Cloud integration experience (ideally AWS IoT or similar platforms)

• Background in C++, Go, or systems languages alongside Python

Soft Skills:

• Proven ability to mentor and guide less experienced engineers

• Comfortable rolling up your sleeves and writing production code

• Enjoys collaborative problem solving in a close-knit team

• Has likely tried management but prefers to stay hands-on in a lead role

COMPENSATION & BENEFITS:

• Up to $200,000 base salary (top of band; slight flexibility for exceptional profiles)

• Meaningful equity package

• Remote-first, U.S.-based team

• Competitive benefits package

• Opportunity to build technology that makes a real-world impact in safety-critical environments

HOW TO APPLY
If you’re an experienced systems engineer looking for a hands-on technical leadership role at a company solving meaningful, real-world problems-apply now to learn more.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Credit Strategy Analyst
Remote within US
Up to $190,000 + Equity

THE COMPANY
Join one of the US’s most exciting and fast-growing fintech lenders, backed by top-tier investors and led by a team with a proven track record of building category-defining products. This firm is revolutionising access to credit with a unique model, smart use of technology, and a deep commitment to responsible lending. As they scale rapidly, they’re looking for a highly analytical Senior Credit Strategy Analyst to shape and lead their collections and recoveries strategy.

If you’re someone who thrives in a fast-paced, data-driven environment and wants to have real impact, this is a rare chance to join at a pivotal growth stage.

THE ROLE
As Senior Credit Strategy Analyst, you’ll take ownership of the company’s approach to collections strategy… building data-led, scalable approaches to optimise customer outcomes and drive portfolio performance. Working closely with cross-functional teams (product, data science, operations), you’ll have full visibility and input across the credit lifecycle while focusing your expertise on collections and recoveries.

Key Responsibilities:

• Design, implement, and monitor collections and recoveries strategies using data, analytics, and experimentation.

• Own and optimise segmentation strategies to improve collections effectiveness and customer experience.

• Collaborate closely with Product and Engineering to automate decisioning and create scalable systems.

• Analyse performance data to identify trends and opportunities for continuous improvement.

• Stay close to regulatory and compliance developments in the US credit space.

YOUR SKILLS & EXPERIENCE
We’re looking for someone who combines strong analytical horsepower with commercial intuition. You’re likely to have experience at a leading digital lender or card issuer and are comfortable taking ownership in a scale-up environment.

• 4+ years’ experience in credit risk, collections strategy, or related analytics roles.

• Strong SQL and/or Python skills and comfort working with large datasets.

• Experience developing strategies for collections and/or recoveries in a regulated lending environment.

• Excellent stakeholder skills and a hands-on, proactive mindset.

• Knowledge of US consumer credit regulations

BENEFITS

• Up to $190,000 base salary

• 20% bonus

• Remote within US

• Chance to work alongside some of the smartest minds in US fintech

• Fast progression opportunities in a well-funded, high-growth business

HOW TO APPLY
If you’re ready to help redefine what collections strategy can look like in a modern, tech-first lender, apply now or get in touch to learn more.

To Apply for this Job Click Here

To Apply for this Job Click Here

Fullstack Software Engineer – Web Application Developer
$175,000 – $190,000
US Remote (Must be based in the US)
Robotics Start-Up

Our client is a cutting-edge Computer Vision product company on a mission to improve safety in industrial environments. By applying advanced AI to construction inspection and failure prediction, they’re solving real-world challenges in high-risk industries such as utilities, mining, maritime, and construction. Their solutions are already redefining safety standards in electric utility operations, eliminating guesswork and preventing potentially catastrophic failures.

With a lean, highly skilled team, they’re building AI-powered systems that connect field operators with intelligent diagnostics through ruggedised edge devices and responsive web apps in real-time, and often in offline-first environments.

THE ROLE
This is a high-impact opportunity to own and lead the development of a mission-critical web application stack. You’ll build the interfaces that connect industrial AI edge devices to field users and central office systems. This platform is central to the company’s value proposition and user experience.

• Full ownership of the customer-facing web application stack

• Architecting resilient systems for unreliable field connectivity
• Integrating edge device data with AWS-hosted cloud infrastructure
• Designing and building scalable front-end experiences using Vue.js
• Establishing secure API contracts, identity management, and CI/CD pipelines
• Collaborating closely with AI, product, and device engineering teams
• Laying the foundation for future platform and team scaling

YOUR SKILLS AND EXPERIENCE

• You will have experience working in a robotics, Edge of IoT business.
• Expert-level experience in full-stack web application architecture
• Proven experience with real-time data systems and offline-first design
• Strong front-end skills (Vue.js preferred) and backend API design
• Experience with cloud platforms (AWS) and edge device integration
• Knowledge of best practices in identity management and web security
• Familiarity with CI/CD pipelines and deployment automation
• Ability to lead independently while communicating effectively across teams

BENEFITS

• 170,000 – 190,000 USD
• Opportunity to lead critical architecture in a greenfield enviroment
• Remote-first culture
• Direct impact on safety in a high-risk industry
• Equity on a case-by-case basis.

To Apply for this Job Click Here

To Apply for this Job Click Here

The Company

This is a US-based industrial AI company that utilises advanced computer vision and edge computing to address critical safety challenges in physically demanding sectors, including construction, maritime, mining, and energy.

The Role

As a Principal Software Engineer – Edge Computing & Computer Vision, you’ll take the lead in developing real-time image processing systems that run directly on edge devices in constrained environments, tightly integrated with a modern AWS cloud backend.

This is a senior, hands-on role for an engineer who thrives at the intersection of AI, embedded systems, and real-world constraints. You’ll lead technical direction, mentor other engineers, and drive the delivery of reliable, production-grade vision systems that operate at the edge, where network connectivity is often intermittent, and system failure is not an option.

Key Responsibilities

• Design and implement robust computer vision pipelines optimized for edge devices

• Architect scalable edge-to-cloud software systems using AWS

• Lead engineering initiatives, mentor team members, and establish best practices

• Optimize real-time image processing for speed, memory, and hardware efficiency

• Build observability and monitoring into distributed edge/cloud environments

• Develop CI/CD and deployment pipelines for embedded software

• Collaborate closely with ML engineers on model tuning for low-resource devices

Tech Environment

• Languages: Python (expert-level), with C++/embedded as a plus

• CV & ML: OpenCV, TensorFlow Lite, PyTorch Mobile, ONNX Runtime

• Hardware: NVIDIA Jetson, Raspberry Pi, custom Linux-based embedded systems

• Infrastructure: AWS (IoT Core, Lambda, CloudWatch), Docker, Prometheus, Grafana

• CI/CD: Edge deployment, observability, testing automation for embedded systems

Ideal Candidate

• 8+ years of software engineering experience, with deep Python expertise

• Strong background in edge computing, embedded systems, and real-time processing

• Fluency in computer vision algorithms and performance optimization

• Experience deploying ML models on constrained devices

• Leadership experience and mentoring capabilities

• Excellent communication skills, and passion for solving safety-critical challenges

Work Policy

• Remote-first (U.S. based)

• Flexible hours and team collaboration norms

• Hands-on, high-autonomy environment with direct product impact

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal Software Engineer – Computer Vision & Edge Computing
$175,000 – $190,000
US Remote (Must be located in the US)
Edge AI/Robotics and Industrial Safety Start-Up

Our client, a pioneering start-up in the industrial safety space, is transforming how critical rope applications are monitored across high-risk sectors, including Construction, Maritime, Mining, and Oil & Gas. By leveraging real-time data and edge computing, they are helping prevent catastrophic failures and save lives.

They are now looking for a Principal Software Engineer to lead the development of scalable, high-performance computer vision systems deployed on edge devices and integrated with AWS cloud infrastructure. This is a mission-driven role where your work will have a direct impact on safety and innovation.

THE ROLE
As a Principal Software Engineer, you will:

• Architect and develop robust computer vision solutions for edge devices.
• Lead technical initiatives and mentor engineers across the team.
• Design scalable systems for real-time image processing in resource-constrained environments.
• Collaborate with ML engineers to optimise models for edge deployment.
• Implement observability and monitoring across edge and cloud components.
• Drive best practices in code quality, testing, and documentation.
• Own deployment pipelines and contribute to architectural decisions.

YOUR SKILLS AND EXPERIENCE:

• Expert-level Python programming with performance optimisation.
• Strong background in computer vision (OpenCV, etc.).
• Experience with edge computing frameworks and hardware.
• Real-time image processing and memory management expertise.
• CI/CD and automated testing for embedded systems.
• Familiarity with Linux-based systems and containerisation.
• Knowledge of distributed system monitoring tool
• Experience with ML frameworks (TensorFlow Lite, PyTorch Mobile, ONNX).
• Knowledge of edge hardware (NVIDIA Jetson, Raspberry Pi).
• AWS technologies (IoT Core, Greengrass, Lambda, CloudWatch).
• Real-time OS or embedded Linux experience.
• Understanding of camera interfaces and IoT protocols.
• Proven leadership and mentoring experience.
• Strong communication and problem-solving abilities.
• Passion for safety-focused technology and innovation.

BENEFITS

• Competitive salary and equity options.
• Flexible remote working.
• Health, dental, and vision insurance.
• Professional development and conference support.
• Opportunity to build life-saving technology in a collaborative environment.

To Apply for this Job Click Here