AI Engineer Jobs

Our client, a venture-backed AI Startup, is hiring a talented ML/AI Research Engineer to join their team in San Francisco. The successful candidate will lead the design, training, evaluation and optimization of agent-native AI systems, working at the cutting edge of LLMs, vector search, graph reasoning and reinforcement learning to build the intelligence layer on top of their enterprise data fabric.


Responsibilities

• Fine-tune and evaluate open-source LLMs (e.g. LLaMA 3, Mistral, Falcon, Mixtral) for enterprise-grade applications.

• Build and optimize RAG pipelines using tools such as LangChain, LangGraph, LlamaIndex or Dust.

• Develop and iterate on agent architectures (ReAct, AutoGPT, BabyAGI, OpenAgents) using real-world enterprise workflows.

• Design embedding-based memory systems with efficient, high-performance retrieval strategies.

• Implement reinforcement learning pipelines (RLHF, DPO, PPO) to improve agent behavior and decision-making.

• Create scalable evaluation frameworks, including synthetic evaluations, trace capture and explainability tooling.

• Own model observability, drift detection and alignment strategies across production systems.

• Optimize inference latency and GPU utilization across cloud and on-premise infrastructure.

Skillset

• Strong experience fine-tuning open-source LLMs using frameworks such as HuggingFace, DeepSpeed, vLLM, FSDP and LoRA/QLoRA.

• Hands-on experience with modern alignment techniques, including SFT, RLHF and DPO pipelines.

• Proven ability to build high-quality training datasets and robust evaluation frameworks for LLM systems.

• Deep understanding of scaling and optimization trade-offs, including batching, context windows, precision and quantization.

• Experience building and deploying production-grade RAG systems.

• Familiarity with orchestration and retrieval tools such as LangChain, LangGraph and LlamaIndex, and vector databases (Weaviate, Qdrant, FAISS).

• Experience working across structured (SQL, graph) and unstructured data sources.

• Experience designing agent-based systems with memory, tool use, and multi-step reasoning.

• Strong understanding of agent workflows (e.g. Plan-Act-Reflect), including self-correction and multi-agent systems.

• Expertise in inference and retrieval optimization, including chunking strategies, reranking, and low-latency deployment (e.g. vLLM, TGI).

Benefits

• Salary: $180k - $240k

• Equity.

Our client, an early-stage AI startup, is hiring a Founding Engineer to join the team in New York. The successful candidate will play a key role in shaping both the product vision and technical direction of the business, building cutting-edge AI systems that accelerate scientific discovery through intelligent automation, multimodal machine learning and advanced data platforms.


Responsibilities

• Design, develop and deploy enterprise-grade AI solutions that empower scientific teams.

• Build advanced multimodal AI systems, including computer vision models, speech-to-text capabilities and intelligent AI agents.

• Develop scalable machine learning pipelines and data infrastructure to support scientific applications.

• Create AI models that analyze experimental data, uncover insights, predict outcomes and optimize processes.

• Convert complex laboratory data into structured, high-quality datasets for machine learning development.

• Work closely with research partners and customers to gather feedback, validate solutions and continuously improve products.

• Shape the company's technical architecture, engineering practices and long-term AI roadmap.

• Partner with founders and scientific leaders to drive product development and technical decision-making.

• Deliver robust, production-ready software with a focus on speed, quality and scalability.

Skillset

• Proven experience designing, building and deploying production software within a startup, research environment or leading technology organization.

• Strong machine learning expertise with deep knowledge in at least two of the following areas: Geometric Deep Learning, Graph Neural Networks (GNNs), Diffusion Models, Generative AI or ML Interatomic Potentials.

• Experience developing and delivering AI-powered products that solve real-world customer challenges.

• Strong software engineering capabilities across backend development, machine learning infrastructure and cloud-based environments.

• Hands-on experience building scalable data pipelines, ML workflows and production AI systems.

• Ability to take ownership across the entire product lifecycle, from initial concept and experimentation through to deployment and optimization.

• Comfortable working in a fast-paced startup environment with a high level of autonomy, ownership and accountability.

• Strong analytical, problem-solving and communication skills with the ability to collaborate across technical and scientific teams.

Benefits

• Salary: $150k - $220k DOE.

Our client, an innovative AI software company, is hiring an AI Engineer to join the team in New York. The successful candidate will work across customer delivery and platform engineering, developing AI agents that solve complex business challenges while enhancing the company's core AI platform.


Responsibilities

• Partner with private equity firms and their portfolio companies to understand operational challenges and design AI-powered solutions that deliver measurable business value.

• Design, build, deploy and optimize AI agents using real-world enterprise and operational data.

• Convert complex business processes into scalable AI solutions, including workflow automation, entity resolution and intelligent agent systems.

• Rapidly develop proof-of-concepts, prototypes, and production-ready AI applications using modern AI technologies.

• Serve as a trusted technical partner, leading customer workshops, solution demonstrations, and technical discovery sessions.

• Contribute to the ongoing development and enhancement of the company's core AI platform alongside customer implementations.

• Collaborate with Product and Engineering teams to translate customer insights into new platform capabilities and product improvements.

• Own projects throughout the full software development lifecycle, from requirements gathering and solution design to deployment and ongoing support.

• Build integrations between AI applications, enterprise systems, APIs and diverse data sources.

• Continuously improve the scalability, performance, reliability and user experience of AI solutions and platform capabilities.

Skillset

• Minimum of 5 years of professional software engineering experience delivering production-ready applications.

• Strong programming experience with Python and/or TypeScript.

• Proven experience developing AI-powered solutions using large language models (LLMs).

• Hands-on knowledge of retrieval-augmented generation (RAG), AI agents, evaluation frameworks, prompt engineering and modern AI tooling.

• Solid understanding of SQL, ETL processes, data integration, and working with complex enterprise datasets.

• Experience building and maintaining full-stack applications across backend services, APIs and frontend technologies.

• Ability to work directly with customers and stakeholders to understand requirements and deliver effective technical solutions.

• Strong problem-solving skills with the ability to translate complex business challenges into scalable software applications.

• Previous experience in a startup, scale-up, or other fast-paced, high-growth environment is an advantage.

• Excellent communication, collaboration and stakeholder management skills.

Benefits

• Salary: $200k - $250k DOE.

• Equity.

Our client, an early-stage HealthTech startup, is hiring a Senior or Mid-Level Integrations Engineer to join their team remotely. The successful candidate will join a small, high-performing engineering team, taking ownership of features from concept through to deployment, as well as collaborate closely with customers and build production-ready AI applications that address real-world clinical and operational challenges.


Responsibilities

• Develop and deliver AI-powered product features using modern web technologies.

• Build intelligent applications and AI assistants powered by large language models (LLMs).

• Create scalable full-stack solutions using TypeScript, React and SQL.

• Partner with clinicians and healthcare professionals to understand user needs and translate them into impactful solutions.

• Take ownership of features throughout the full software development lifecycle, from design and implementation to deployment.

• Continuously enhance application performance, reliability and user experience.

• Contribute to engineering architecture, development standards and tooling improvements.

• Help promote a collaborative engineering culture within a fast-growing startup.

• Work closely with product and leadership teams to deliver high-quality solutions at pace.

• Build secure, scalable and reliable software supporting critical healthcare operations.

Skillset

• At least 2 years of professional software engineering experience.

• Strong proficiency with TypeScript and React.

• Solid knowledge of SQL, relational databases and data modelling principles.

• Experience developing AI-powered applications using large language models (LLMs).

• Understanding of prompt engineering, retrieval-augmented generation (RAG) and AI integrations.

• Good knowledge of cloud platforms, distributed systems and modern application architecture.

• Experience delivering production-ready software in fast-paced environments.

• Strong analytical and problem-solving skills with the ability to work effectively in ambiguous situations.

• Excellent communication and collaboration skills with a team-first mindset.

Benefits

• Salary: $150k - $180k.

• Equity.

• Flexible remote working.

Our client, an early-stage HealthTech startup, is hiring a Full Stack Product Engineer to join their team remotely. The successful candidate will build AI-powered products that support hundreds of thousands of clinical encounters every week, helping treatment providers reduce administrative burden, improve insurance authorizations, and deliver meaningful real-world impact for patients and healthcare teams.


Responsibilities

• Build and deploy AI-powered product features that support healthcare providers in their daily workflows.

• Develop scalable, end-to-end applications using TypeScript, React and modern cloud technologies.

• Create intelligent AI agents and automated workflows powered by large language models.

• Take ownership of projects from initial discovery and design through to development, deployment and optimization.

• Engage directly with customers to understand their needs and translate insights into impactful product improvements.

• Partner with engineering, product and leadership teams to deliver innovative solutions in a fast-paced startup environment.

• Help shape technical architecture, engineering practices and development standards as the company grows.

• Enhance platform performance, reliability and scalability to support increasing customer demand.

• Contribute to code reviews, technical discussions and the continued evolution of the engineering culture.

• Build and maintain high-quality software through robust testing and efficient CI/CD processes.

Skillset

• Minimum of two years of commercial software engineering experience.

• Strong proficiency in TypeScript and React, with experience building modern web applications.

• Good understanding of SQL, relational databases and effective data modelling principles.

• Hands-on experience developing AI-enabled applications using large language models (LLMs).

• Familiarity with prompt engineering, retrieval-augmented generation (RAG) and AI integration techniques.

• Solid knowledge of cloud platforms, system architecture and scalable application design.

• Proven ability to deliver and maintain production-grade software in a fast-paced environment.

• Strong analytical and problem-solving skills with the ability to work autonomously.

• Excellent communication skills and a collaborative, team-oriented mindset.

Benefits

• Salary: $170k - $200k.

• Equity.

• Flexible remote working.

Our client, an early-stage InsurTech startup, is hiring a Founding Engineer to join the team in New York. The successful candidate will play a key role in developing the infrastructure, AI-driven workflows and software solutions that transform complex insurance data into meaningful insights and actionable intelligence.


Responsibilities

• Design and build scalable systems that convert complex, unstructured insurance data into actionable insights.

• Create data ingestion and enrichment pipelines to extract, process and structure information from sources including policies, schedules and loss runs.

• Integrate and analyze data from 100+ external sources to develop a comprehensive insurance intelligence platform.

• Develop AI-powered underwriting and risk modelling solutions that enhance pricing accuracy and improve decision-making.

• Build intuitive customer-facing products that enable businesses to organize, analyze and optimize their insurance portfolios.

• Contribute across backend engineering, infrastructure and product development as the platform and team grow.

• Leverage modern AI engineering tools and techniques to improve productivity, accelerate delivery and build innovative solutions.

• Partner closely with founders and senior engineers to shape technical strategy, architecture and product direction.

Skillset

• At least one year software engineering experience with a proven ability to build, launch and iterate on real-world products.

• Experience working as an early-stage or founding engineer or within a startup environment where you have taken ownership of complex challenges.

• Strong full-stack engineering skills, with the ability to contribute across backend systems, infrastructure, and user-facing applications.

• Experience developing data-intensive applications, including APIs, data pipelines, integrations, and asynchronous processing workflows.

• Ability to work with complex, unstructured datasets and transform them into reliable, scalable solutions.

• Familiarity with modern AI engineering tools and a track record of using them to enhance development speed and effectiveness.

• A proactive, entrepreneurial mindset with a strong sense of ownership and a drive to deliver results.

• Excellent problem-solving abilities with the confidence to work independently in fast-moving environments.

Benefits

• Salary: $140k - $180k DOE.

• Equity.

• Health insurance.

Our client, a global AI and data-driven company, are hiring a Head of Architecture and Engineering Operations to join their growing team in Dublin, Ireland. The successful candidate will shape how architecture and engineering operate across the organisation by defining the architecture operating model, setting engineering standards and leading the systems that enable teams to build and deliver at scale across cloud and AI-driven platforms.


Responsibilities

• Lead a globally distributed architecture team across multiple regions, setting clear governance structures, decision rights and architecture forums.

• Define architecture principles, standards, reference architectures, and decision frameworks, and mature the Architecture Review Board into a trusted, pragmatic governance function.

• Own and maintain the Technology Radar, guiding technology adoption, standardisation, experimentation and retirement across the organisation.

• Shape developer experience by improving tooling, golden paths, reusable patterns, AI-assisted engineering, documentation and delivery processes that increase speed and quality.

• Drive FinOps practices to improve cost transparency and optimisation across cloud and tooling spend, working closely with Finance and engineering teams to embed accountability and efficiency into delivery.

• Publish and drive adoption of engineering standards and reference architectures across the organisation.

• Establish and evolve cloud architecture patterns across AWS, Azure and Google Cloud.

• Align technical strategy with product and business roadmaps to ensure consistent delivery of outcomes.

• Support client-facing solution architecture, including strategic pursuits, solution design and technical leadership.

• Remain hands-on with key architectural decisions and complex design reviews to maintain technical credibility.

Skillset

• At least 10 years of experience in engineering, cloud, platform, or architecture leadership roles.

• A minimum of 5 years in senior or principal architecture positions.

• Proven experience leading globally distributed teams.

• Strong expertise in cloud architecture across AWS, Azure, or Google Cloud.

• Experience designing and operating enterprise-scale platforms, APIs, data systems, and AI-enabled solutions.

• Demonstrated experience in architecture governance or technical design authority roles.

• Track record of improving developer experience at scale through tools, processes, and platforms.

• Familiarity with AI-assisted engineering tools and modern development practices.

• Experience with FinOps, cloud cost optimisation, or financial management of technology spend.

• Strong client-facing experience, including pre-sales solution architecture and stakeholder engagement.

Benefits

• Salary: Circa €170k

• 15% Bonus.

• Private healthcare, life assurance and income protection.

• Strong pension scheme.

** Please Note** Candidates must already be eligible to work in the Republic of Ireland.

Our client, an innovative AI and Data company, is hiring a Head of Research to join the team in New York. The successful candidate will transform unique consumer-generated data streams into a gold standard for AI training and evaluation by shaping the company's research strategy, collaborating directly with leading AI labs, and establishing the organization as a recognised authority in audio data research and evaluation science.


Responsibilities

• Define and drive the company's AI research strategy, focusing on data evaluation, AI oversight and generative AI innovation.

• Develop strategic partnerships with leading AI research labs, academic institutions and industry experts.

• Build AI-assisted evaluation frameworks to measure, validate, and enhance audio and multimodal datasets.

• Translate emerging AI research advancements into scalable data solutions and production-ready capabilities.

• Position the organization as a recognized leader in audio AI, speech intelligence and AI evaluation science.

• Design and execute rigorous machine learning experiments, benchmarks and evaluation methodologies to support next-generation AI models.

• Represent the company across the global AI research ecosystem, building relationships with researchers, partners and technical communities.

• Collaborate with product and engineering teams to define AI data strategies, research priorities and innovation roadmaps.

Skillset

• Proven track record of impactful AI/ML research focused on data evaluation, generative AI or AI oversight.

• Deep expertise in audio, speech or multimodal AI systems, with strong understanding of emerging research trends.

• Experience working with frontier AI models, training pipelines and evaluation frameworks.

• Strong knowledge of AI evaluation methodologies, benchmarking and AI-assisted evaluation approaches.

• Experience designing and executing rigorous machine learning experiments using Python and PyTorch.

• Ability to translate complex AI research concepts into scalable, production-ready data solutions.

• Strong understanding of data quality, dataset development and evaluation strategies for AI model improvement.

• Proven ability to build relationships with leading AI researchers, technical partners and industry stakeholders.

• Strong communication skills with the ability to represent research concepts and technical insights to diverse audiences.

• Founder mindset with the ability to operate independently, drive innovation and deliver impact in a fast-moving environment.

Benefits

• Salary: $250k - $300k

• Comprehensive benefits package.

Our client, an innovative AI and Data company, is hiring a Data Operations Lead to join the team in New York. The successful candidate will own the end-to-end data lifecycle, shaping data operations, developing scalable processes, managing external partners and ensuring the highest standards of dataset quality to deliver high-quality, production-ready datasets for leading AI research teams.


Responsibilities

• Own the end-to-end delivery of high-quality AI training datasets, from raw audio data collection through to production-ready outputs.

• Collaborate with AI research teams and external partners to define, manage and deliver dataset requirements.

• Support the development and execution of commercial data agreements, ensuring successful delivery against customer expectations.

• Design, build and optimize operational workflows across transcription, annotation, quality assurance and dataset production.

• Develop robust data quality frameworks, acceptance criteria and validation processes to maintain delivery standards.

• Lead outsourced and international data operations teams, ensuring quality, efficiency and timely delivery.

• Partner with engineering teams to enhance data pipelines, tooling and operational scalability.

• Identify and implement improvements to increase dataset quality, reliability and operational efficiency.

• Serve as a key liaison between customers, internal stakeholders, engineering teams and external vendors.

• Contribute to the company's data strategy and help scale data operations as the organization grows.

Skillset

• Minimum of 5 years of experience building and scaling data operations, data pipelines or AI/ML data workflows.

• Proven experience working with audio, speech or multimodal datasets within AI or machine learning environments.

• Strong track record managing external data partnerships, dataset delivery and AI training data programs.

• Experience leading global or outsourced teams focused on data annotation, transcription and quality assurance.

• Strong understanding of data quality frameworks, validation processes and operational performance metrics.

• Technical proficiency across data pipelines, cloud infrastructure and AI/ML workflows.

• Knowledge of digital audio fundamentals, including sample rates, voice activity detection (VAD) and audio processing formats.

• Experience developing or managing AI training datasets for applications such as ASR, TTS, speaker identification or conversational AI.

• Familiarity with audio processing and data tools such as Librosa, FFmpeg, SoX, torchaudio, and cloud platforms including AWS, GCP or Azure.

• Entrepreneurial mindset with the ability to thrive in a fast-paced environment, take ownership and make decisions with limited information.

Benefits

• Salary: $180k - $220k

• Comprehensive benefits package.

Our client, an AI-driven company within the real estate sector, is hiring a Senior Software Engineer to join their team in New York. The successful candidate will play a key role in designing and delivering scalable systems that address complex, high-impact challenges.


Responsibilities

• Design, build and deliver production-grade software across the company's AI platform.

• Own major systems end to end, from architecture decisions through to implementation and delivery.

• Work closely with the CTO and founding team to define product direction and technical strategy.

• Build AI-powered workflows, including LLM pipelines and agentic systems where accuracy and reliability are critical.

• Develop solutions for complex legal, financial and institutional data challenges.

• Make thoughtful architecture decisions and solve complex engineering problems in ambiguous environments.

• Champion software quality, data integrity, security and reliability across the platform.

• Collaborate cross-functionally to deliver intuitive products for families and professionals.

Skillset

• At least 5 years of experience designing, building and delivering production-grade software solutions.

• Strong programming skills with Python and/or TypeScript.

• Proven experience designing scalable systems and making effective architecture decisions.

• Familiarity with LLM pipelines, AI agents, or the ability to quickly learn and apply emerging AI technologies.

• Strong focus on software correctness, reliability and working with sensitive or regulated data.

• Experience working with databases such as PostgreSQL and data-intensive systems.

• Strong problem-solving skills with a proactive approach to delivering impactful solutions.

• Experience working within fintech, legaltech, healthtech or other regulated industries is a plus.

• Previous startup experience is a bonus.

Benefits

• Salary: $170k - $230k

• Equity.

• Health insurance.

• 401(k).

Our client, a leading Healthcare organization, are hiring a Senior Front Engineer to join  the team in San Francisco or Cambridge, MA. The successful candidate will help build exceptional user experiences for a healthcare platform that enables patients to compare upfront pricing for virtual and in-person appointments, prescriptions and a wide range of healthcare services.


Responsibilities

• Develop, maintain and scale a modern Next.js web application.

• Own key customer-facing features, including search, appointment scheduling, provider profiles and patient checkout journeys.

• Build responsive, accessible and intuitive user interfaces that deliver an exceptional patient experience.

• Design and maintain reusable frontend components and contribute to frontend architecture decisions.

• Optimise application performance, reliability, and usability across devices and browsers.

• Write clean, maintainable and well-tested code following best practices.

• Collaborate closely with product designers, backend engineers, operations teams, and clinical stakeholders to deliver high-quality features.

• Contribute to technical discussions, solution design and continuous improvement initiatives.

• Troubleshoot issues across the application and contribute to full-stack development when required.

• Take ownership of features from concept through to deployment, ensuring a seamless user experience.

Skillset

• Minimum of 3 years' experience building production web applications using React.

• Strong proficiency in TypeScript and modern React development patterns.

• Experience with Next.js or similar frameworks, including server-side rendering (SSR) and static site generation (SSG).

• Strong understanding of REST APIs and backend data models.

• Experience building accessible, responsive, and high-performance web applications.

• Experience with Ruby on Rails and PostgreSQL is a plus.

• Previous experience in healthcare technology or other regulated industries is a bonus.

• Excellent attention to detail with a strong focus on UI quality and user experience.

• Strong analytical and problem-solving skills.

Benefits

• Salary: $150k - $225k

• Equity.

• Comprehensive benefits package.

Our client, a growing FinTech company, are hiring an AI Engineer to join their team in Colorado. The successful candidate will architect, develop and scale enterprise-grade multi-agent AI systems, taking ownership of complex solutions from initial design through to production deployment to shape the future of agentic AI within the financial services industry.


Responsibilities

• Design and develop production-ready multi-agent AI systems using modern agent frameworks and architectures.

• Build intelligent AI workflows that integrate retrieval, reasoning, tool execution, validation and compliance controls.

• Develop scalable distributed services to support reliable agent execution, monitoring and fault tolerance.

• Create evaluation frameworks to assess reasoning performance, accuracy, groundedness, hallucination mitigation and financial correctness.

• Implement robust memory management, context handling and agent state persistence solutions.

• Collaborate with Product, Design and Engineering teams to translate business requirements into scalable AI solutions.

• Optimise AI systems for performance, latency, scalability, reliability and cost efficiency.

• Shape architectural decisions across model serving, vector databases, orchestration platforms, caching strategies and cloud infrastructure.

Skillset

• At least 6 years' experience in Machine Learning, including 3 years building and deploying Generative AI and LLM-powered applications in production environments.

• Demonstrated experience designing, developing, and deploying multi-agent AI systems.

• Deep expertise across multimodal LLMs, agent frameworks, knowledge graphs, reinforcement learning, model fine-tuning, agent memory and data synthesis techniques.

• Advanced Python programming skills with strong experience using modern AI and machine learning frameworks.

• Proven experience building distributed systems and deploying cloud-native applications across AWS, GCP or Azure.

• Experience developing monitoring, evaluation, and reliability frameworks to ensure the performance and safety of AI systems.

• Strong architectural and systems-thinking capabilities, with the ability to design scalable, multi-component AI platforms.

• Experience working in high-growth, fast-paced, or early-stage startup environments is highly desirable.

Benefits

• Salary: $200k - $275k

• Comprehensive benefits package.

Our client, a growing FinTech company, are hiring a Staff Machine Learning Engineer to join their team in Colorado. The successful candidate will play a key role in designing and building production-grade, multi-agent AI systems that power advisor copilots, investment intelligence, workflow automation and autonomous research.


Responsibilities

• Design, develop and deploy production-grade multi-agent AI systems using modern agent frameworks and large language models (LLMs).

• Build intelligent AI workflows that combine context retrieval, reasoning, tool execution, validation and compliance controls.

• Develop scalable distributed services for agent orchestration, with a focus on observability, monitoring, resilience and fault tolerance.

• Create evaluation frameworks to assess reasoning quality, accuracy, groundedness, hallucination mitigation and financial correctness.

• Implement scalable approaches to memory management, context handling and persistent agent state.

• Collaborate closely with Product, Design and Engineering teams to translate business requirements into scalable AI solutions.

• Continuously optimize AI systems for performance, latency, reliability, scalability and cost efficiency.

• Influence the design and evolution of AI infrastructure, including model serving, orchestration, vector databases, caching and cloud-native architecture.

Skillset

• At least 6 years of experience in Machine Learning, including 2-3 years building and deploying Generative AI or LLM-powered applications in production environments.

• Proven experience designing, developing and implementing production-ready multi-agent AI systems.

• Strong expertise in multimodal LLMs, agent frameworks, knowledge graphs, reinforcement learning, model fine-tuning, agent memory and synthetic data generation.

• Advanced Python programming skills with hands-on experience using modern AI and machine learning frameworks.

• Experience building distributed systems and deploying cloud-native applications across AWS, Azure or Google Cloud Platform (GCP).

• Strong understanding of AI system monitoring, evaluation frameworks, reliability engineering and model performance optimization.

• Demonstrated ability to design scalable, enterprise-grade AI architectures that integrate multiple models, services, and workflows.

• Previous experience working in a fast-paced startup or scale-up environment is highly desirable.

Benefits

• Salary: $200k - $275k

• Comprehensive benefits package.

Our client, an AI-driven customer engagement organization, is hiring a Founding Product Engineer to join their team in New York. The successful candidate will work closely with the founders, engineering, design and commercial teams to shape product strategy, drive roadmap development, enhance the customer experience and help define an entirely new product category.


Responsibilities

• Develop and deliver product strategy, roadmap planning and feature prioritization.

• Engage with customers to understand their challenges, gather feedback and uncover new opportunities.

• Partner with engineering and design teams to deliver innovative, high-quality product features.

• Lead the end-to-end product lifecycle, from discovery and validation through to launch, optimization and continuous improvement.

• Turn customer insights, market trends and business needs into impactful product decisions.

• Maintain a strong focus on user experience, ensuring every release meets high standards of quality and usability.

• Foster collaboration across cross-functional teams to keep projects aligned and move forward efficiently.

• Monitor product performance using data, customer feedback and key metrics to guide future enhancements.

• Utilize AI tools to accelerate product research, prototyping and development workflows.

• Contribute to the long-term product vision while supporting the company's continued growth and innovation.

Skillset

• At least 5 years' experience in Product Management, Software Engineering or a founding role within a technology company.

• Proven ability to take products from early concept through to successful market launch and customer adoption.

• Customer-focused approach with experience conducting user research and turning insights into impactful product improvements.

• Experience collaborating closely with engineering teams in agile software development environments.

• Strong analytical and problem-solving skills, with the ability to make informed, data-driven product decisions.

• Solid understanding of SaaS products, platform development and product strategy.

• Hands-on experience using AI tools, with a strong understanding of the rapidly evolving AI landscape.

• Excellent communication, collaboration and stakeholder management skills.

• Previous startup or founding team experience is a bonus.

Benefits

• Salary: $150k - $190k.

• Equity.

• Comprehensive benefits package.