Valence

• Build the paved roads. Design and operate shared platform primitives used by multiple teams (authorization and routing guardrails, secure logging, rollout controls, observability, queue infrastructure, and the centralized LLM gateway) so teams build on standards instead of reinventing them. • Make change safe by default. Own the reliability and change-safety systems that let the org move fast without breaking trust: CI/CD gates, migration safety patterns, progressive delivery, rollback automation, and kill switches. • Enforce security at the platform layer. Ship secure defaults, policy enforcement frameworks, auditability, and data-access guard libraries so the safe path is the easy path. • Run global delivery controls. Implement single-domain strategy, region pinning and routing, residency-aware behavior, and cross-region config consistency checks for enterprise customers worldwide. • Raise the operational bar. Establish SLOs, synthetic checks, alerting standards, and incident runbooks and drills that drive faster detection and recovery. • Build the internal developer platform. Create service templates, blessed internal-tool paths, and standard deploy, monitoring, and auth patterns that make the right thing the default thing. • Operate an AI-native engineering plane. Build issue-to-PR automation infrastructure with governance, human-in-control workflows, and audit logs that convert signals into auditable, human-approved execution outcomes.

• Own and architect our entire AWS infrastructure, including identifying areas for improvement and implementing solutions • Design and implement scalable infrastructure platforms that enable seamless deployments across multiple teams • Lead security infrastructure initiatives, including implementing SIEM, EDR, automated scanning tools, and backup systems • Manage and optimize infrastructure costs while ensuring high availability and performance • Develop and maintain Infrastructure as Code using Terraform and Ansible, with opportunity to improve existing implementations • Create and optimize autoscaling solutions for various workloads, including webinar demands and ML/data processing pipelines • Establish network architecture and security protocols, including firewall configurations and routing • Build and maintain CI/CD pipelines for multiple application teams • Collaborate with AI team to design and implement infrastructure for data processing and ML pipelines • Take proactive ownership in identifying infrastructure improvements and implementing solutions

• Own the day-to-day operation of Valence's GRC program. • Maintain and continuously improve our Information Security and Artificial Intelligence Management System for ISO 27001/42001. • Coordinate SOC 2, ISO 27001, ISO 42001, and other certification efforts. • Manage the security risk register and facilitate enterprise risk assessments. • Coordinate internal and external audits. • Manage security policies, standards, and control documentation. • Track remediation activities and drive control improvements across teams. • Support customer security questionnaires, RFPs, and due diligence activities. • Partner with Engineering to ensure technical controls meet compliance requirements. • Help develop security metrics and executive reporting. • Coordinate annual control testing and evidence collection. • Build scalable governance processes as the company grows.

• Lead dynamic live webinars for Fortune 500 clients • Deliver engaging training sessions that inspire participants • Consistently achieve high satisfaction scores • Act as a trusted advisor to clients for tool usage • Provide coaching and training sessions on tool usage

Role Description As a founding Applied AI Engineer at Valence, you will help define and build the future of AI-powered leadership coaching, working directly with our Head of AI and cross-functional product and engineering teams. You’ll be at the intersection of generative AI research and product execution, helping design, build, and refine intelligent systems that deliver context-aware, personalized coaching at enterprise scale. This role is purposefully broad and adaptable: we don’t expect any one candidate to check every technical box, but we do look for engineers who are eager to learn, iterate rapidly, and contribute meaningfully across a range of challenges from model behavior to production systems. - Tackle real-world AI problems, including: - Transforming enterprise data into actionable context - Optimizing conversational experiences - Shaping how AI engages with users in meaningful and responsible ways - Your work will directly impact how our platform performs in high-stakes enterprise deployments and how leaders around the world grow through AI-facilitated insights. Qualifications - 8+ years of experience in software engineering, AI/ML, data-intensive systems, AI/ML development (ideally including a Master's or Ph.D. in Computer Science, ML, Data Science, or a related field). - Familiarity with language systems (e.g., NLP, conversational interfaces, IR) and comfort reasoning about model behavior, context, and evaluation - both theoretical and practical knowledge. - Experience with core data science tools such as NumPy, scikit-learn, Pandas, PySpark, plus SQL and common visualization tools (e.g., matplotlib, Seaborn, Plotly, or BI tools) to explore and communicate insights. - Comfortable developing and deploying services in cloud environments (AWS, GCP, Azure) and working with containerization/orchestration (Docker, Kubernetes). - Strong software engineering skills, including writing maintainable code, debugging distributed systems, and collaborating in cross-functional teams. - Eagerness to tackle unfamiliar problems, learn new technologies, and contribute to shaping our platform and culture. - Ability to explain technical ideas clearly and work effectively with both technical and non-technical stakeholders. Requirements - Architect and build enterprise-grade AI and conversational systems that power coaching workflows and user experiences. - Develop, evaluate, and refine LLM-based components - balancing performance, scalability, and reliability in real use cases. - Integrate and manage diverse sources of structured and unstructured data to improve contextual understanding and output quality. - Partner closely with product, engineering, and design to translate user needs into impactful technical solutions. - Rapidly prototype and iterate on systems that span backend services, data pipelines, and frontend interactions as needed. - Build tooling, tests, and automation to support reliable model deployment, observability, and continuous improvement. - Help streamline data and science workflows, enabling fast experimentation and data-driven decisions. Benefits - Ownership & Rapid Growth - Outsized missions from day one, with direct responsibility for company-defining projects - Work alongside the executive team with transparency into strategy and decision-making - Influence on direction through real-time customer feedback and market insights - AI-First Operator - Work directly with cutting-edge AI models and next-generation platforms - Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries - Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale - Compensation - Competitive salary including base + bonuses - Comprehensive health coverage (medical, dental, vision) from day one - Generous PTO, company-wide R&R shutdowns, and paid parental leave - Retirement plan support for US and global employees - Meaningful ownership in a venture-backed company at a growth inflection point - Financial upside that comes from scaling fast - Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact - Top-Performing Culture - A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together Location and Work Environment - If candidates are based in NYC or Toronto they can work hybrid in our offices, otherwise this role can be remote. - Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US. Diversity and Inclusion - We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. - We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. - If you have any questions, please reach out to Allison Langille, Head of People, at jobs@valence.co. Employment Verification & Commitment - We use third-party services to verify employment history, education, and other information relevant to your candidacy. - Employment is contingent upon the successful completion of these verification checks. - This is a full-time role that requires a high level of focus, availability, and commitment. - Employees may not hold concurrent full-time employment with another organization while employed at Valence. - Any outside consulting, advisory, freelance, or other professional work must be disclosed and approved in advance and must not interfere with job responsibilities, availability, performance, or create a conflict of interest - including risks related to confidentiality, intellectual property, or competition.

Title: Staff Software Engineer, Product Location: New York NY United States Full time Valence has built the only AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We're not just talking about the future of work - we're building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology. Our focus is on the problems that actually decide whether AI changes how organizations operate - the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance. And this isn't for everyone. We're not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what's possible, who get bored when things feel "done," and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself. The Role As a Principal Software Engineer, Product, you will be instrumental in architecting, building, and scaling both backend systems and user-facing experiences that power our LLM-driven coaching platform. You will ship features end-to-end - from designing resilient APIs and integrating models to delivering polished interfaces in the browser - while collaborating closely with cross-functional partners in product, design, and infrastructure. This is a ground-floor opportunity to shape a category-defining product used by enterprise customers worldwide. You'll contribute to: - Full stack architecture, development, and optimization of features spanning backend, AI/model integration, and frontend interfaces. - Designing for scale, performance, and security in enterprise environments. - Debugging across the stack - from model behavior and backend services to UI logic and client performance. - Collaborating with product, design, and operations to deliver delightful, resilient user experiences. - Helping evolve the engineering culture, tooling, hiring, and technical roadmap as the team grows. What You'll Do - Build and extend critical backend services: architect APIs, integrate LLMs and related services, and optimize server-side systems for performance and reliability. - Develop polished frontend experiences: craft intuitive UI flows, ensure accessibility and responsiveness, and manage data flow between frontend and backend. - Own end-to-end delivery: from scoping requirements, writing tests, deploying code, to monitoring and observability in production. - Collaborate deeply: work across product, design, data, and infrastructure to solve real user problems and accelerate delivery. - Drive best practices: help shape engineering standards, CI/CD automation, observability, and performance benchmarking. - Mentor and grow: support team members through code reviews, technical discussions, and institution of scalable practices. What We're Looking For - Strong full stack experience: you have shipped production-grade systems involving both backend and frontend components, and you're comfortable owning APIs and user experiences end-to-end. - Technical breadth/ Engineering skills: deep proficiency with Python (Django preferred) or similar languages for backend; strong JavaScript skills and familiarity with modern frameworks (e.g., React, Vue). - Frontend craftsmanship/ UX obsessed: experience building responsive, high-performance UI with attention to usability and scale. - Enterprise-grade thinking: you build for scale, performance, security, and maintainability in large, distributed environments. - Builder at Heart: you've architected and shipped production-grade, user-facing systems. You balance polish with speed, knowing when to prioritize craftsmanship and when to push scrappy experiments to learn fast. - Versatility and pragmatism: you balance sound architectural decisions with a willingness to prototype and iterate quickly when needed. - Customer-Centered & Product-Focused: you care as much about usability, accessibility, and adoption as you do about code quality. You think beyond "does it work" to "does it work for the user, at scale, and in enterprise environments." - Startup fluent: you thrive in ambiguity, value momentum over perfection, and enjoy wearing multiple hats. What You'll Get Ownership & Rapid Growth - Outsized missions from day one, with direct responsibility for company-defining projects - Work alongside the executive team with transparency into strategy and decision-making - Influence on direction through real-time customer feedback and market insights AI-First Operator - Work directly with cutting-edge AI models and next-generation platforms - Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries - Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale Compensation - Competitive salary including base + bonuses - Comprehensive health coverage (medical, dental, vision) from day one - Generous PTO, company-wide R&R shutdowns, and paid parental leave - Retirement plan support for US and global employees Equity - Meaningful ownership in a venture-backed company at a growth inflection point - Financial upside that comes from scaling fast - Top-up grants as we scale and you deliver exceptional performance - your compensation grows alongside your impact Top-Performing Culture - A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together Location and Work Environment This role can be either remote or hybrid from our offices in New York or Toronto. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US.

Valence has built the only first-to-market AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We’re not just talking about the future of work — we’re building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology. Our focus is on the problems that actually decide whether AI changes how organizations operate — the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance. And this isn’t for everyone. We’re not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what’s possible, who get bored when things feel “done,” and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself. The Role As a founding Applied AI Engineer at Valence, you will help define and build the future of AI-powered leadership coaching , working directly with our Head of AI and cross-functional product and engineering teams. You’ll be at the intersection of generative AI research and product execution - helping design, build, and refine intelligent systems that deliver context-aware, personalized coaching at enterprise scale . This role is purposefully broad and adaptable: we don’t expect any one candidate to check every technical box, but we do look for engineers who are eager to learn, iterate rapidly, and contribute meaningfully across a range of challenges from model behavior to production systems. You’ll tackle real-world AI problems - from transforming enterprise data into actionable context, to optimizing conversational experiences, to shaping how AI engages with users in meaningful and responsible ways. Your work will directly impact how our platform performs in high-stakes enterprise deployments and how leaders around the world grow through AI-facilitated insights. About Valence We're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb. Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry. What You'll Do Architect and build enterprise-grade AI and conversational systems that power coaching workflows and user experiences. Develop, evaluate, and refine LLM-based components - balancing performance, scalability, and reliability in real use cases. Integrate and manage diverse sources of structured and unstructured data to improve contextual understanding and output quality. Partner closely with product, engineering, and design to translate user needs into impactful technical solutions. Rapidly prototype and iterate on systems that span backend services, data pipelines, and frontend interactions as needed. Build tooling, tests, and automation to support reliable model deployment , observability, and continuous improvement. Help streamline data and science workflows, enabling fast experimentation and data-driven decisions. We recognize that not every candidate will have experience in every area above - we value growth potential, curiosity, and the ability to learn on the job. What We're Looking For Technical foundation: 3+ years of experience in software engineering, AI/ML, data-intensive systems, AI/ML development (ideally including a Master's or Ph.D. in Computer Science, ML, Data Science, or a related field). AI systems mindset: Familiarity with language systems (e.g., NLP, conversational interfaces, IR) and comfort reasoning about model behavior, context, and evaluation - both theoretical and practical knowledge. Data tooling & analysis: Experience with core data science tools such as NumPy, scikit-learn, Pandas, PySpark , plus SQL and common visualization tools (e.g., matplotlib, Seaborn, Plotly, or BI tools) to explore and communicate insights. Cloud & deployment experience: Comfortable developing and deploying services in cloud environments (AWS, GCP, Azure) and working with containerization/orchestration (Docker, Kubernetes). Engineering excellence: Strong software engineering skills, including writing maintainable code, debugging distributed systems, and collaborating in cross-functional teams. Growth orientation: Eagerness to tackle unfamiliar problems, learn new technologies, and contribute to shaping our platform and culture. Communication: Ability to explain technical ideas clearly and work effectively with both technical and non-technical stakeholders. Nice-to-have (but not required): experience with ML lifecycle tools (e.g., MLflow, Weights & Biases), familiarity with Cloud ML services, or past work building generative AI applications. What You'll Get Ownership & Rapid Growth Outsized missions from day one, with direct responsibility for company-defining projects Work alongside the executive team with transparency into strategy and decision-making Influence on direction through real-time customer feedback and market insights AI-First Operator Work directly with cutting-edge AI models and next-generation platforms Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale Compensation Competitive salary including base + bonuses Comprehensive health coverage (medical, dental, vision) from day one Generous PTO, company-wide R&R shutdowns, and paid parental leave Retirement plan support for US and global employees Equity Meaningful ownership in a venture-backed company at a growth inflection point Financial upside that comes from scaling fast Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact Top-Performing Culture A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together Learn more about us and meet our team here Location and Work Environment If candidates are based in NYC or Toronto they can work hybrid in our offices, otherwise this role can be remote. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US. Diversity and Inclusion We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at jobs@valence.co. Employment Verification & Commitment We use third-party services to verify employment history, education, and other information relevant to your candidacy. Employment is contingent upon the successful completion of these verification checks. This is a full-time role that requires a high level of focus, availability, and commitment. Employees may not hold concurrent full-time employment with another organization while employed at Valence. Any outside consulting, advisory, freelance, or other professional work must be disclosed and approved in advance and must not interfere with job responsibilities, availability, performance, or create a conflict of interest - including risks related to confidentiality, intellectual property, or competition. #LI-HYBRID

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a seasoned Application Security Engineer to help us secure our products and platform that serve our Fortune 500 customers. In this pivotal role, you will be working in close partnership with our engineering teams, ensuring that everything they build holds up to our security standards. While your primary focus will be application security, you are joining a small, elite team, and as such you will also work cross-domain, including working with MDM, or talking with customers directly. What You'll Do - Stay ahead of engineering: review code, architecture, design, anything that’s being considered for release - Guide features and designs toward security - Provide hands-on manual pentesting on relevant code changes - Build and maintain security tooling to ensure security scales with organization - Advise the DevOps team on infrastructure security best practices - Help out with client-facing security needs, such as client calls Qualifications - Proven experience securing products & platforms, collaborating with development teams - Strong expertise in application security: OWASP Top 10, threat modeling, code reviews, architecture design - Proficiency with AI tooling, as part of your day-to-day activities - Solid understanding of AI itself, including AI threats, adversarial testing - Familiarity with AWS and infrastructure security overall - Be comfortable writing and reviewing Python and TypeScript, with other coding experience a plus - Experience with incident response and SOC processes - Knowledge of compliance frameworks: SOC 2, ISO 27001, NIST - Experience with enterprise security processes, such as security questionnaires and client calls - We don’t expect candidates to have deep expertise in every area; strength in application security with curiosity and adaptability across adjacent domains is key What You'll Get - Ownership & Rapid Growth - Outsized missions from day one, with direct responsibility for company-defining projects - Work alongside the executive team with transparency into strategy and decision-making - Influence on direction through real-time customer feedback and market insights - AI-First Operator - Work directly with cutting-edge AI models and next-generation platforms - Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries - Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale Compensation - Competitive salary including base + bonuses - Comprehensive health coverage (medical, dental, vision) from day one - Generous PTO, company-wide R&R shutdowns, and paid parental leave - Retirement plan support for US and global employees - A WFH stipend, phone stipend and support to work in a We Work or other space as preferred. Equity - Meaningful ownership in a venture-backed company at a growth inflection point - Financial upside that comes from scaling fast - Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact Location and Work Environment - We’re looking for a candidate that can fully support our team in ET time zone (e.g. Toronto, NYC). - While we’re open to candidates from other areas, they need to be generally available during Eastern Time working hours. - Have valid travel documents without work authorization restrictions in the US. Diversity and Inclusion We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. Employment Verification & Commitment We use third-party services to verify employment history, education, and other information relevant to your candidacy. Employment is contingent upon the successful completion of these verification checks. This is a full-time role that requires a high level of focus, availability, and commitment. Employees may not hold concurrent full-time employment with another organization while employed at Valence.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a founding Applied AI Engineer at Valence, you will help define and build the future of AI-powered leadership coaching, working directly with our Head of AI and cross-functional product and engineering teams. You’ll be at the intersection of generative AI research and product execution, helping design, build, and refine intelligent systems that deliver context-aware, personalized coaching at enterprise scale. This role is purposefully broad and adaptable: we don’t expect any one candidate to check every technical box, but we do look for engineers who are eager to learn, iterate rapidly, and contribute meaningfully across a range of challenges from model behavior to production systems. - Tackle real-world AI problems: - Transform enterprise data into actionable context - Optimize conversational experiences - Shape how AI engages with users in meaningful and responsible ways - Your work will directly impact how our platform performs in high-stakes enterprise deployments and how leaders around the world grow through AI-facilitated insights. Qualifications - 3+ years of experience in software engineering, AI/ML, data-intensive systems, AI/ML development (ideally including a Master's or Ph.D. in Computer Science, ML, Data Science, or a related field) - Familiarity with language systems (e.g., NLP, conversational interfaces, IR) and comfort reasoning about model behavior, context, and evaluation - both theoretical and practical knowledge - Experience with core data science tools such as NumPy, scikit-learn, Pandas, PySpark, plus SQL and common visualization tools (e.g., matplotlib, Seaborn, Plotly, or BI tools) - Comfortable developing and deploying services in cloud environments (AWS, GCP, Azure) and working with containerization/orchestration (Docker, Kubernetes) - Strong software engineering skills, including writing maintainable code, debugging distributed systems, and collaborating in cross-functional teams - Eagerness to tackle unfamiliar problems, learn new technologies, and contribute to shaping our platform and culture - Ability to explain technical ideas clearly and work effectively with both technical and non-technical stakeholders Requirements - Experience with ML lifecycle tools (e.g., MLflow, Weights & Biases) - Familiarity with Cloud ML services - Past work building generative AI applications Benefits - Ownership & Rapid Growth - Outsized missions from day one, with direct responsibility for company-defining projects - Work alongside the executive team with transparency into strategy and decision-making - Influence on direction through real-time customer feedback and market insights - AI-First Operator - Work directly with cutting-edge AI models and next-generation platforms - Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries - Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale - Compensation - Competitive salary including base + bonuses - Comprehensive health coverage (medical, dental, vision) from day one - Generous PTO, company-wide R&R shutdowns, and paid parental leave - Retirement plan support for US and global employees - Equity - Meaningful ownership in a venture-backed company at a growth inflection point - Financial upside that comes from scaling fast - Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact - Top-Performing Culture - A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together Location and Work Environment - If candidates are based in NYC or Toronto they can work hybrid in our offices, otherwise this role can be remote. - Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US. Diversity and Inclusion - We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. - We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. Employment Verification & Commitment - We use third-party services to verify employment history, education, and other information relevant to your candidacy. - Employment is contingent upon the successful completion of these verification checks. - This is a full-time role that requires a high level of focus, availability, and commitment. - Employees may not hold concurrent full-time employment with another organization while employed at Valence. - Any outside consulting, advisory, freelance, or other professional work must be disclosed and approved in advance and must not interfere with job responsibilities, availability, performance, or create a conflict of interest.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Senior Software Engineer, Full Stack, you will be instrumental in architecting, building, and scaling both backend systems and user-facing experiences that power our LLM-driven coaching platform. You will ship features end-to-end - from designing resilient APIs and integrating models to delivering polished interfaces in the browser - while collaborating closely with cross-functional partners in product, design, and infrastructure. This is a ground-floor opportunity to shape a category-defining product used by enterprise customers worldwide. - Full stack architecture, development, and optimization of features spanning backend, AI/model integration, and frontend interfaces. - Designing for scale, performance, and security in enterprise environments. - Debugging across the stack - from model behavior and backend services to UI logic and client performance. - Collaborating with product, design, and operations to deliver delightful, resilient user experiences. - Helping evolve the engineering culture, tooling, hiring, and technical roadmap as the team grows. Qualifications - Strong full stack experience: you have shipped production-grade systems involving both backend and frontend components, and you’re comfortable owning APIs and user experiences end-to-end. - Technical breadth/ Engineering skills: deep proficiency with Python (Django preferred) or similar languages for backend; strong JavaScript skills and familiarity with modern frameworks (e.g., React, Vue). - Frontend craftsmanship/ UX obsessed: experience building responsive, high-performance UI with attention to usability and scale. - Enterprise-grade thinking: you build for scale, performance, security, and maintainability in large, distributed environments. - Builder at Heart: you’ve architected and shipped production-grade, user-facing systems. You balance polish with speed, knowing when to prioritize craftsmanship and when to push scrappy experiments to learn fast. - Versatility and pragmatism: you balance sound architectural decisions with a willingness to prototype and iterate quickly when needed. - Customer-Centered & Product-Focused: you care as much about usability, accessibility, and adoption as you do about code quality. You think beyond “does it work” to “does it work for the user, at scale, and in enterprise environments.” - Startup fluent: you thrive in ambiguity, value momentum over perfection, and enjoy wearing multiple hats. Requirements - Build and extend critical backend services: architect APIs, integrate LLMs and related services, and optimize server-side systems for performance and reliability. - Develop polished frontend experiences: craft intuitive UI flows, ensure accessibility and responsiveness, and manage data flow between frontend and backend. - Own end-to-end delivery: from scoping requirements, writing tests, deploying code, to monitoring and observability in production. - Collaborate deeply: work across product, design, data, and infrastructure to solve real user problems and accelerate delivery. - Drive best practices: help shape engineering standards, CI/CD automation, observability, and performance benchmarking. - Mentor and grow: support team members through code reviews, technical discussions, and institution of scalable practices. Benefits - Ownership & Rapid Growth: Outsized missions from day one, with direct responsibility for company-defining projects. - Work alongside the executive team with transparency into strategy and decision-making. - Influence on direction through real-time customer feedback and market insights. - AI-First Operator: Work directly with cutting-edge AI models and next-generation platforms. - Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries. - Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale. - Competitive salary including base + bonuses. - Comprehensive health coverage (medical, dental, vision) from day one. - Generous PTO, company-wide R&R shutdowns, and paid parental leave. - Retirement plan support for US and global employees. - Meaningful ownership in a venture-backed company at a growth inflection point. - Financial upside that comes from scaling fast. - Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact. - A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together. Location and Work Environment This role can be either remote or hybrid from our offices in New York or Toronto. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US. Diversity and Inclusion We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. Employment Verification & Commitment We use third-party services to verify employment history, education, and other information relevant to your candidacy. Employment is contingent upon the successful completion of these verification checks. This is a full-time role that requires a high level of focus, availability, and commitment.