Benefits:

• Opportunities for professional growth, learning, and career advancement

• A competitive compensation and benefits package

• Flexible work arrangements that support work-life balance

Education Requirements:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).

Experience Requirements:

• Proficiency in one or more programming languages such as Python, Java, or JavaScript.

• Familiarity with version control systems (e.g., Git) and collaborative coding practices.

• Knowledge of web development technologies (HTML, CSS, REST APIs) is a plus.

• Experience with agile development methodologies is desirable.

Other Requirements:

• Excellent problem-solving skills and a keen eye for detail.

• Strong communication skills and a collaborative, team-oriented attitude.

Responsibilities:

• Collaborate with senior engineers and product teams to develop high-quality software applications.

• Write, test, and maintain code in accordance with industry best practices.

• Assist in designing and implementing new features, enhancements, and system improvements.

• Participate in code reviews, debugging sessions, and performance optimization.

• Engage with cross-functional team members (e.g., data scientists, UX/UI designers, product managers) to refine product requirements.

Benefits:

• Opportunities for continuous professional development and career advancement

• A competitive compensation and benefits package

Education Requirements:

• Bachelor’s degree or equivalent practical experience in a technical field such as Industrial Engineering, Mechanical Engineering, or a related discipline (a computer science degree is not mandatory).

Experience Requirements:

• Proven experience in a technical or advisory role, particularly within industrial or operational environments.

• Demonstrated expertise in enterprise-level software systems and integration strategies relevant to industrial applications.

• Strong ability to develop and deliver technical training and educational content for non-technical users.

Other Requirements:

• Excellent communication, presentation, and problem-solving skills, with an emphasis on practical, customer-focused solutions.

• Ability to manage multiple projects in a fast-paced, dynamic environment.

• Familiarity with cloud platforms or data management solutions is a plus but not required.

Responsibilities:

• Become the primary expert on Cedar AI’s systems, specifically tailored to meet the needs of industrial users.

• Provide technical guidance on system configuration, integration, and optimization to maximize customer value.

• Collaborate directly with industrial clients to understand their operational challenges and technical requirements.

• Design and recommend customized solutions that seamlessly integrate with existing industrial processes and infrastructures.

• Lead technical workshops, training sessions, and one-on-one consultations to empower customers with the knowledge to effectively use our systems.

Benefits:

• Competitive compensation

• comprehensive benefits

• Opportunities for professional growth, continuous learning, and career advancement

Education Requirements:

• Bachelor’s degree in a technical field such as Information Systems, Industrial Engineering, or equivalent practical experience (a Computer Science degree is not required).

Experience Requirements:

• 3+ years of experience in data engineering, ETL development, and data warehousing.

• Proven experience with ETL frameworks and tools (e.g., Apache Airflow, Talend, or similar).

• Strong expertise in SQL and hands-on experience with relational databases; familiarity with NoSQL is a plus.

• Experience integrating and supporting customer reporting BI tools (e.g., Tableau, Power BI, Looker).

• Solid understanding of data warehousing concepts, data modeling, and best practices for data security.

Other Requirements:

• Excellent problem-solving skills and the ability to optimize and troubleshoot data pipelines.

• Strong communication and collaboration skills with the ability to effectively bridge technical and non-technical teams.

• Familiarity with cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, Azure SQL) is an advantage.

Responsibilities:

• Design, develop, and maintain end-to-end ETL pipelines for reliable data ingestion, transformation, and loading.

• Monitor and optimize ETL processes to ensure seamless and efficient data flow.

• Oversee and manage our data warehouse environment to ensure high performance, scalability, and data integrity.

• Integrate and manage customer reporting BI tools, ensuring smooth data access and accurate data visualization.

• Collaborate with business and analytics teams to understand reporting requirements and deliver custom dashboards and insights.

Experience Requirements:

• 1-3 years of business development experience in SaaS for Retail/D2C companies.

• Must have experience working with international markets such as North American and European markets.

Other Requirements:

• Clear, concise, and effective written and oral communication skills.

• Empathy towards customers and understanding their needs.

• Interest, curiosity, and openness to learning new technologies.

• Good interpersonal skills and ability to collaborate with internal stakeholders as well as end customers.

• Learning mindset and the right attitude will help you thrive and adapt in a fast-paced, performance-driven environment.

Responsibilities:

• Generate qualified opportunities for the company by rigorously prospecting and researching in the assigned region/market using modern tools

• Do rigorous research on companies to assess opportunities

• Strike and initiate conversations, set up meetings & demos with relevant personas of companies you are prospecting.

• Identify and implement the right sales techniques to close the deals.

• Maintaining a strong relationship with the client and advising them on issues related to the market and offering solutions on the same.

Other Requirements:

• Proficiency in English as it is the official language

• Ability to be present at the office at least 3 days per week for hybrid model

• Residing in or willingness to relocate to Barcelona

• Legal authorization to work in Spain

• No requirement for employment visa sponsorship in Spain

Benefits:

• Competitive compensation including equity participation and substantial commission upside tied to growth

Experience Requirements:

• 10+ years of enterprise experience with demonstrated ability to influence C-level executives

• Established network within target enterprise segments with proven ability to continuously expand and grow relationships

• Track record of closing six figure deals with complex, multi-stakeholder dynamics

• Expert practitioner of consultative methodologies with proven ability to uncover business pain points and craft tailored solutions

• Deep vertical expertise in one or more key sectors: manufacturing, retail, financial services, energy, real estate, or infrastructure

Responsibilities:

• Drive new enterprise account acquisition with ambitious revenue targets

• Structure complex partnerships including pilots, enterprise licenses, and strategic transformation programs

• Build and leverage networks with C-level executives

• Apply consultative selling methodologies to uncover business pain points and transformation opportunities

• Develop thought leadership content that establishes market leadership & generates demand

Benefits:

• Equity

• 401(k) Program

• Health, Dental, Vision and Life Insurance

• Paid Parental, Medical, Caregiver Leave

• Flexible Time Off (FTO) + Holidays

Experience Requirements:

• 8+ years of experience in front-end development with a strong design sensibility

• Expert-level knowledge of HTML, CSS, and JavaScript/TypeScript

• Deep experience with modern front-end frameworks (React preferred)

• Strong understanding of design systems and component-based architecture

• Experience implementing complex UI animations and interactions

Other Requirements:

• Experience building design tools or developer tools

• Background or interest working with AI

• Open-source contributions to design systems or UI libraries

Responsibilities:

• Architect and implement complex UI components and systems that balance aesthetics with technical performance

• Lead the technical implementation and evolution of our design system (Replit UI)

• Create prototypes to explore new interaction models and validate design concepts

• Collaborate closely with product designers to bring designs to life with pixel-perfect precision

• Establish best practices for front-end development and component architecture

Benefits:

• Equity

• 401(k) Program

• Health, Dental, Vision and Life Insurance

• Paid Parental, Medical, Caregiver Leave

• Flexible Time Off (FTO) + Holidays

Education Requirements:

• Degree in Human Computer Interaction or Human Factors background

Experience Requirements:

• 8+ years of user research experience in a startup or B2B/B2C tech companies

• Working knowledge of multiple research methods and approaches

• Experience at companies with multiple customer segments (Consumer, SaaS, etc.)

• Can successfully manage project prioritization and multiple stakeholder relationships independently

Other Requirements:

• Implement AI tools into your workflows

Responsibilities:

• Be a thought partner in the UX function working closely with Head of Design, Product and Engineering

• Provide both confident project leadership and patient guidance to a range of stakeholder levels, including guiding designers and PMs through their own research

• Manage multiple research initiatives either directly conducting your own research or helping teams do their own

• Collaborate with Product Marketing, Support, and Data Analytics to formulate cohesive narratives of customer problems

Benefits:

• Equity

• Bonus

Experience Requirements:

• 2+ years of professional expertise.

• Someone who values simplicity and pragmatism—you think radically but ship incrementally.

• Self-directed and comfortable working autonomously.

Other Requirements:

• Experience with low-level Linux system components

• Experience building AI-powered tooling or products.

• Familiarity with IDEs, terminals, LSPs, or other developer-centric tools.

• Experience with collaborative editing technologies such as Operational Transforms (OT), CRDTs, or the inner workings of Git.

• Experience with event sourcing systems

Responsibilities:

• Design a collaborative "Multiplayer Computer" that lets humans and AI agents work together on shared shells, filesystems, and state—conflict-free and in real time.

• Build high-throughput backend applications and services.

• Create tooling that helps AI systems minimize mistakes through static analysis and deterministic techniques.

• Develop infrastructure (frontend & backend) that empowers product engineers to rapidly ship delightful user experiences.

• Support sophisticated user interfaces, including terminals, code editors, window-management systems, and innovative experiences that require both creativity and algorithmic skill.

Benefits:

• Competitive salary and pre-IPO stock options

• 100% company-paid medical, dental and vision insurance (for employee)

• Unlimited paid time off

• Generous leave programs for life events

• 401(k)

Education Requirements:

• BS, MS or Ph.D in Computer Science, Engineering, Mathematics, Statistics, Physics, or related field is required

Experience Requirements:

• 5+ years of experience in Python or other Object-Oriented programming languages

• 3+ years of experience with React and Material UI

• 3+ years of experience in Relational Databases and/or working with Data Warehouses such as Snowflake, Databricks or Redshift

• Experience in AWS (cloud) and Terraform (IAAS)

• Experience in building and managing distributed systems

Other Requirements:

• Cost vs performance analysis

• Advanced knowledge of software engineering principles including software design, source control management, build processes, automated deployments, code reviews, testing methods

• Hustle, curiosity, humility

Responsibilities:

• Design and build high-performance Data Integration products with intuitive user interfaces prioritizing scalability, reliability and efficiency

• Collaborate with product and design to refine user experiences

• Work with distributed systems and data pipelines

• Lead and drive projects to completion

• Innovating on creative solutions to difficult problems

Education Requirements:

• A degree or equivalent experience

Experience Requirements:

• 5 years experience managing projects

• Experience in tech, preferably in a Saas

• Experienced in interacting with various digital products

• PMP Certification

Other Requirements:

• Has start-up experience

• Ability to work in office 2 days per week in downtown Vancouver

Responsibilities:

• Drive and manage the project-planning and development process across multiple teams

• Manage the SCRUM process through Jira, managing epics, tickets, tasks, and stories

• Analyze product requirements and develop appropriate roadmaps and programs

• Coordinate internal and external resources, ensuring projects remain within scope and schedule

• Develop, implement, and maintain production timelines across multiple departments

Experience Requirements:

• 2+ years of experience in recruiting coordination, hospitality, events, or office operations

• Experience with tools like Google Suite, Zoom, Slack, Greenhouse, and Guide (or similar ATS/scheduling tools)

• A proactive, collaborative spirit and “no-task-too-small” mentality

• An eye for detail, excellent organizational skills, and the ability to prioritize in real time when handling last-minute changes or busy timelines

• Exceptional interpersonal skills and a talent for creating thoughtful, inclusive, and memorable experiences

Other Requirements:

• Ability to lift up to 20 lbs

• Flexibility to work outside standard hours occasionally to support interviews or events

• Ability to work independently and cross-functionally with partners across all levels of the company

Responsibilities:

• Own all in-person interview logistics, from scheduling and coordination to room setup and snack stocking to tech checks

• Host interviews and candidate visits in our NYC office, by greeting candidates, giving tours, and helping them feel at ease throughout their visit

• Partner with Recruiters, Talent Acquisition Coordinators, Hiring Managers, and the Talent Attraction team to support in-person hiring events and recruiting initiatives

• Maintain consistent, proactive communication with team members and candidates throughout the scheduling and interview process

• Provide coverage and flexibility for Talent Acquisition Coordination and Operations teammates during PTO, leave(s), or spikes in demand as determined by the Talent Acquisition Operations team.

Education Requirements:

• Bachelor's Degree in English, Education, or a related field

• A training qualification

• Certification in preparing students for other English Language Proficiency tests.

Experience Requirements:

• 3+ years of language teaching experience

• Proficient in delivering content in English and Telugu. Hindi in addition preferred

• Willingness to travel for in-person training sessions when necessary

• Awareness of English proficiency tests like IELTS and TOEFL

• Experience in test preparation

Responsibilities:

• Deliver offline as well as online training programs to various stakeholders

• Customize/adapt training materials to align with the regional needs and contexts

• Gather feedback from participants to refine future programs

• Prepare reports on training delivered

• Keep up with the latest changes and updates to the DET; share these with stakeholders

Experience Requirements:

• Proficiency in React, Next.js, TypeScript, and CSS, with experience in Tailwind CSS being highly desirable.

• Strong understanding of frontend development tools and methodologies.

• Experience with responsive and adaptive design.

• Good understanding of SEO principles and ensuring that the application will adhere to them.

• Experience with backend technologies, understanding how to integrate with various APIs and data sources.

Other Requirements:

• Ability to write clean, readable, and maintainable code.

• Strong problem-solving skills, attention to detail, and a user-centric mindset.

• Excellent communication skills and the ability to work effectively in a collaborative team environment.

• Knowledge of AI models and their application in enhancing frontend functionalities.

• A passion for AI and technology, with an eagerness to work in a dynamic startup environment.

• Ability to remain curious and open to learning new skills.

• Ability to wear many hats.

Responsibilities:

• Develop and maintain high-quality user interfaces using React, TypeScript, and CSS.

• Take full ownership of Stack AI's landing page and its subpages, ensuring they effectively communicate our value proposition and product offerings to the global audience.

• Collaborate with backend team to integrate new features seamlessly into the user interface.

• Work closely with the design team to translate visual concepts into functional online experiences.

• Focus on user experience design, creating intuitive and innovative interfaces that meet the needs of our users.

Benefits:

• Play a foundational role at a fast-growing Series A startup that is shaping the future of AI in enterprise workflows.

• Collaborate across Product, ML, and Platform teams, be the bridge between AI logic and scalable execution.

• Build infrastructure that enables real value for large enterprises: low-code, secure, and scalable AI workflows.

• Join a company that's scaling thoughtfully, values developer experience, and moves with agility.

Experience Requirements:

• 4+ years of backend engineering experience (Python preferred).

• Deep expertise in task queues, job orchestration, and distributed systems.

• Hands-on experience with Redis, Celery, RabbitMQ, Celery Beat, and ideally Temporal.

• Experience scaling systems at a startup or in fast-paced environments.

• Strong understanding of deploying, monitoring, and optimizing AI/ML systems in production (infrastructure toolsets and CI/CD practices)

Other Requirements:

• Familiarity with containerization (Docker, Kubernetes), IaC (Terraform), or MLOps pipeline.

Responsibilities:

• Design and implement scalable backend architectures tailored for AI workloads (inference, orchestration, monitoring).

• Manage and optimize distributed job orchestration using Celery, Temporal, RabbitMQ, and Celery Beat.

• Enhance data pipelines and caching strategies using Redis.

• Collaborate closely with ML engineers to integrate models into production, ensuring scalability and reliability.

• Build robust monitoring, observability, retry, and fault tolerance systems around job execution.

Experience Requirements:

• 3+ years of experience in data science, software development, or generative AI.

• Experience with strategic enterprise accounts, preferably Fortune 500.

• Expertise in AI/ML, RAG pipelines, LLM workflows, or large analytic programs.

Other Requirements:

• Eagerness to build a business in a fast-paced environment.

• Ability to travel 10-20% of the time.

Responsibilities:

• Optimize and support solutions within strategic accounts on the Stack AI platform.

• Map requirements and relationships within target enterprise customer offices.

• Pursue opportunities and provide feedback on our go-to-market strategy.

• Forecast and close high-value opportunities.

• Write proposals, pitch stakeholders, and lead product demos.

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or related fields.

• PhD in a relevant field.

Experience Requirements:

• Proven experience in machine learning and AI, with a focus on generative models.

• Knowledge of retrieval-augmented generation pipelines and their implementation.

• Strong proficiency in Python and popular machine learning frameworks like TensorFlow or PyTorch.

• Experience with embedding techniques and understanding of their applications in AI models.

• Experience with large-scale ML deployments in a production environment.

Other Requirements:

• Excellent problem-solving skills and the ability to work in fast-paced environments.

• Strong communication and collaboration skills.

• Published research or projects in the field of generative AI, embeddings, or retrieval-augmented generation.

• Contribution to open-source AI/ML projects.

• In-depth knowledge of generative AI hardware, including an understanding of GPU architectures, requirements, and optimization techniques for AI model deployment.

• Ability to remain curious and open to learning new skills.

• Ability to wear many hats.

Responsibilities:

• Enhance our retrieval-augmented generation (RAG) capabilities, ensuring our models effectively integrate and utilize diverse data sources.

• Work on embedding generation techniques, optimizing them for accuracy and efficiency.

• Keep abreast of the latest developments in AI models, their evolving capabilities, and the complexities of integration.

• Collaborate with backend and frontend teams to integrate AI models into products and services.

• We're all about our users - listen to their needs, help them, build strong relationships! Expect to dive into customer support now and then as everyone else in the team.

Experience Requirements:

• Strong proficiency in Python and experience with FastAPI or similar web frameworks.

• Solid understanding of database management, design, and optimization, with hands-on experience in SQL and NoSQL databases (or tools such as Supabase and SQL Alchemy).

• Practical experience with cloud services, particularly AWS, including EC2, S3, RDS, and Lambda.

• Familiarity with Docker, Kubernetes, and other containerization and orchestration tools.

• Proven track record of building and maintaining large-scale backend systems.

Other Requirements:

• Excellent problem-solving skills, attention to detail, and a strong understanding of software engineering principles.

• Effective communication skills and the ability to work collaboratively in a team environment.

• Knowledge of AI models, including understanding their integration and deployment in production environments.

• Experience with retrieval-augmented generation (RAG) pipelines

• Skills in embedding generation and handling large-scale data processing tasks.

• A passion for AI and technology, eager to work in a startup environment where agility and innovation are highly valued.

• Ability to remain curious and open to learning new skills.

• Ability to wear many hats.

Responsibilities:

• Develop robust and scalable backend systems.

• Design and manage database infrastructure, ensuring high performance and responsiveness to requests from the front end.

• Integrate new AI models as they are released into our products, and maintain existing ones for optimal performance.

• Work closely with the founding team to align backend development with company goals and user needs.

• Stay ahead of the curve in backend technologies, advocating for best practices and innovative approaches.

Benefits:

• Work at the cutting edge of AI + infrastructure.

• Shape the foundation of our cloud and DevOps practices.

• Join a small, fast-moving team where your work has an immediate impact.

• Hybrid flexibility: collaborate in-person in our San Francisco office (next to Salesforce Park) while enjoying remote days or be fully remote

Experience Requirements:

• 5+ years of experience in DevOps, Cloud, or Infrastructure engineering.

• Strong expertise with Kubernetes, Terraform, Docker, and Infrastructure as Code (IaC).

• Hands-on experience with AWS, Azure, and/or GCP.

• Solid background in CI/CD pipelines (GitHub Actions, Azure DevOps, GitLab CI, etc.).

• Comfort with scripting/programming (Python, Bash, or similar).

Other Requirements:

• Strong problem-solving and communication skills, with the ability to thrive in a fast-paced startup environment.

• Experience with FluxCD or similar GitOps tools.

• Familiarity with security/compliance frameworks (SOC 2, HIPAA).

• Previous startup experience.

Responsibilities:

• Own cloud infrastructure: Design, implement, and maintain our infrastructure with a strong focus on scalability, security, and cost-efficiency.

• Lead Kubernetes operations: Manage and optimize containerized applications in Kubernetes (deployment, scaling, monitoring, troubleshooting).

• Build automation: Drive Infrastructure as Code to standardize, automate, and improve reliability of environments.

• Streamline CI/CD: Architect and maintain pipelines to accelerate developer productivity and ensure zero-downtime deployments.

• Enable observability & security: Implement monitoring, logging, and alerting and drive compliance best practices.

Benefits:

• Massive impact: Shape how organizations adopt LLMs at scale, from startups to Fortune 500s.

• Early team member: Join a YC-backed company founded by MIT PhDs, with 35,000+ users and growing fast.

• Builder’s playground: Work at the intersection of strategy, product, and execution — helping define a new category of AI-powered workflows.

• Values-driven culture: We value action, transparency, boldness, and curiosity.

Experience Requirements:

• Experience delivering solutions in complex organizations, while being comfortable operating in a startup environment.

• Familiarity with AI/ML concepts and tools; experience with Python, SQL, or data analysis is a plus (but not required).

• Experience leading cross-functional initiatives or teams.

Other Requirements:

• Customer-Centric Mindset: Deep empathy for users and ability to connect technical capabilities with business value.

• Strategic Communication: Comfortable engaging both technical stakeholders and senior executives, translating between the two.

• Builder Mentality: Bias for action, comfort with ambiguity, and ability to create structure where none exists.

• Passion for AI: Strong conviction in AI’s transformative potential and excitement about making it accessible.

• Flexibility to travel occasionally for customer engagements (~10–40%).

Responsibilities:

• Executive Engagement: Partner with business leaders and technical teams to scope high-value AI use cases and align on success metrics.

• End-to-End Ownership: Lead customer engagements from ideation through delivery, ensuring long-term adoption and measurable business outcomes.

• AI Strategy & Value Discovery: Identify opportunities where AI workflows can deliver ROI, efficiency, and competitive advantage.

• Customer Enablement: Train and empower customer teams to build and iterate on AI workflows using Stack AI’s no-code platform.

• Change Management: Drive onboarding and adoption so that solutions become an integral part of customers’ day-to-day operations.