Benefits:

• TRUST

• OWNERSHIP

• FREEDOM

• OWN AI PRODUCTS

• WORK FROM ANYWHERE

Experience Requirements:

• Several years of experience in selling customer service or similar systems to enterprises it's a must-have

Responsibilities:

• LEAD & SUPPORT SALES DEV. Both creating and running cold campaigns in Telecom, Banking, Personal Finance, Insurance, Transport industries via phone and text touch points, and supporting Sales Development team in new campaigns: defining ICP, verifying target lists, messaging, ensuring proper take over of interested leads.

• Helping the customer to convince internally all stakeholders to start a PoC

• Conducting pricing and contract negotiations with support from Head of Sales Automate

Education Requirements:

• Bachelor’s degree (e.g., BA/BS) in Computer Science, Software Engineering, or related field of study.

Experience Requirements:

• Eight or more (8+) years of experience in software quality assurance with at least 3 years focused on test automation.

Responsibilities:

• Design, implement, and maintain a scalable, reusable, and efficient test automation framework for UI, API, and integration testing using tools such as Cypress, Cucumber, and Gherkin.

• Define and enforce best practices, coding standards, and governance for test automation to ensure maintainability and scalability across development teams.

• Embed automated testing into CI/CD pipelines, enabling continuous feedback and faster software releases.

• Act as the subject matter expert (SME) for test automation, guiding QA engineers and developers on best practices.

• Develop and manage test data strategies to ensure reliable test execution across automation suites.

Benefits:

• Private Health Insurance

• Company Equity

• Weekly Office Events - Catered Lunch and Breakfast

• Stocked Kitchen

• Company Outings & Quarterly Events Hybrid Working Meal Coupons - Monthly LinkedIn Learning & Training Opportunities/Budget Mental Health Benefits - Wellness Coach App Subscription Great office location in the city center - Parking slots available Gym Subscription - UP Fit Quarterly Charitable Giving Allowance Peer recognition Allowance

Education Requirements:

• Bachelor's degree or higher in Computer Science, Engineering, or a related field.

Experience Requirements:

• Three (3+) or more years of experience working as a machine learning engineer or similar related engineer role.

Responsibilities:

• Develop and implement AI/ML solutions aligned with company goals.

• Lead the research, development, and deployment of AI/ML models using Python, LangChain, LLMs, and HuggingFace transformers, as well as libraries for Deep Learning (e.g., Pytorch, Tensorflow), ML libraries (e.g., XGBoost, Scikit-learn) and NLP (e.g., spaCy, NLTK).

• Fine-tune existing models and/or create new models from scratch to enhance business processes and outcomes.

• Collaborate cross-functionally with teams to identify opportunities for AI/ML integration and optimization.

• Stay abreast of industry trends and advancements to ensure our AI initiatives remain innovative and impactful.

Responsibilities:

• Support sales in exceeding quotas through enterprise solution selling.

• Co-sell on strategic opportunities, attend customer meetings, and establish trusted advisor relationships with customers.

• Ramp up as a trusted customer-facing resource within the first few months, confidently engaging in C-level enterprise conversations.

• Win multiple high-value opportunities within the first year by effectively demonstrating the value of People.ai’s solutions and addressing technical pre-sales inquiries.

Benefits:

• Extensive / Generous health, dental, and vision insurance.

• Highly competitive paid parental leave and support system.

• Ownership in the business through an Equity Incentive Plan.

• Generous paid time off and / or flexible work arrangements.

• Daily meals in-office, vibrant company events, team-building.

Education Requirements:

• Bachelor's degree in Computer Science or a related field.

Experience Requirements:

• Minimum 5+ years of experience in software engineering, with a focus on infrastructure design.

• Proven experience in designing complex systems and strong software engineering skills.

• Strong understanding and experience with distributed systems like Apache Spark, Ray etc. and infrastructure design.

• Proficiency in containerization technologies like Docker and orchestration platforms like Kubernetes.

• Demonstrated expertise in DevOps practices, with a focus on ML.

Responsibilities:

• Build and maintain cloud infra and distributed systems for MLOps

• Build out internal training framework to make research with large distributed models easy and fun

• Design and develop systems to support Voxel's ML development, with a focus on computer vision applications.

• Provide technical guidance, mentorship, and project management support.

• Build distributed systems and pipelines for data management, ensuring scalability, reliability, and performance.

Benefits:

• Extensive / Generous health, dental, and vision insurance.

• Highly competitive paid parental leave and support system.

• Ownership in the business through an Equity Incentive Plan.

• Generous paid time off and / or flexible work arrangements.

• Daily meals in-office, vibrant company events, team-building.

Education Requirements:

• Bachelor's degree in Computer Science or a related field

Experience Requirements:

• 8+ years of experience developing data-intensive backend APIs and service at scale

• 3+ years of experience leading cross-functional engineering projects

• Proven track record of customer-centric technical leadership and delivering customer value

• Solid engineering and coding skills (preferably Go, C++, Java, or another typed/compiled language)

• Production experience with cloud platforms (AWS, GCP) and cloud native architecture

Responsibilities:

• Collaborate with engineering and non-engineering teams across the company to better understand our users and how our technology can meet their evolving needs

• Lead engineering projects from scoping to implementation to maintenance

• Research, propose, and design backend services and APIs based on the needs of customers and internal systems

• Implement backend services and APIs (Go, [Node.js](http://Node.js), Python, gRPC/ConnectRPC, AWS)

Benefits:

• Extensive / Generous health, dental, and vision insurance.

• Highly competitive paid parental leave and support system.

• Ownership in the business through an Equity Incentive Plan.

• Generous paid time off and / or flexible work arrangements.

• Daily meals in-office, vibrant company events, team-building.

Education Requirements:

• Bachelor's Degree in Computer Science, computer Engineering, or equivalent experience.

Experience Requirements:

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

• Proficiency with the Kubernetes ecosystem

• Experience with AWS services including IAM, S3, RDS, EKS.

• Experience with IaC such as Terraform.

• Experience building and scaling high availability distributed systems.

Responsibilities:

• Build and maintain cloud infra and distributed systems for data processing, MLOps and other services.

• Develop and implement DevOps practices to deploy applications in AWS EKS.

• Build infrastructure configuration-as-code modules using Terraform.

• Design and develop architectures for running AI on realtime video at scale.

• Implement security best practices for the software engineering organization.

Benefits:

• Extensive / Generous health, dental, and vision insurance.

• Highly competitive paid parental leave and support system.

• Ownership in the business through an Equity Incentive Plan.

• Generous paid time off and / or flexible work arrangements.

• Daily meals in-office, vibrant company events, team-building.

Experience Requirements:

• 5+ years of experience with REST, API design patterns, scalable containerized systems, and microservices.

• Experience building large distributed systems and handling scalability, with expertise in Flink, Kafka, or Kinesis for stream processing.

• Demonstrated experience in designing, architecting, and delivering large-scale distributed systems, from concept to production.

• Hands-on experience with Terraform and cloud infrastructure (AWS, Azure, or GCP).

Responsibilities:

• You will contribute to the development, scaling, and securing of large distributed systems, data processing pipelines, access control systems, and Cloud APIs

• Solve unique technical challenges

• Develop, test, and deploy services within the Voxel ecosystem

• Influence the technical direction of the teamUphold high code quality and architectural design standards

• Design scalable and resilient systems and services

Benefits:

• Extensive / Generous health, dental, and vision insurance.

• Highly competitive paid parental leave and support system.

• Ownership in the business through an Equity Incentive Plan.

• Generous paid time off and / or flexible work arrangements.

• Daily meals in-office, vibrant company events, team-building.

Education Requirements:

• Bachelor's Degree in Computer Science, computer Engineering, or equivalent experience.

Experience Requirements:

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

• Proficiency with the Kubernetes ecosystem

• Experience with AWS services including IAM, S3, RDS, EKS.

• Experience with IaC such as Terraform.

• Experience building and scaling high availability distributed systems.

Responsibilities:

• Build and maintain cloud infra and distributed systems for data processing, MLOps and other services.

• Develop and implement DevOps practices to deploy applications in AWS EKS.

• Build infrastructure configuration-as-code modules using Terraform.

• Design and develop architectures for running AI on realtime video at scale.

• Implement security best practices for the software engineering organization.

Benefits:

• Extensive / Generous health, dental, and vision insurance.

• Highly competitive paid parental leave and support system.

• Ownership in the business through an Equity Incentive Plan.

• Generous paid time off and / or flexible work arrangements.

• Daily meals in-office, vibrant company events, team-building.

Education Requirements:

• Bachelor’s degree in Information Technology, Computer Science, related field, or equivalent experience.

Experience Requirements:

• At least 8 years experience managing IT and business-critical systems and infrastructure for an early-stage SaaS startup.

• Expertise in managing software tools, including G-suite, Slack, Kandji (or similar MDM), and Drata (or similar compliance software)

• Knowledge of security best practices, data protection, and SOC 2 and ISO compliance standards.

Responsibilities:

• Manage all core business software, including licensing, updates, and integrations, to ensure optimal functionality and alignment with company needs.

• Act as the primary point of contact for resolving employee technical issues ensuring timely resolution or engaging third-party support as needed.

• Conduct timely onboarding and offboarding of employees and contractors, including provisioning and de-provisioning access to systems and devices.

• Oversee company hardware inventory to ensure efficient distribution supporting business operations. Establish an appropriate replacement cycle for existing assets, ensuring a detailed and up-to-date inventory is kept.

Benefits:

• Extensive / Generous health, dental, and vision insurance.

• Highly competitive paid parental leave and support system.

• Ownership in the business through an Equity Incentive Plan.

• Generous paid time off and / or flexible work arrangements.

• Daily meals in-office, vibrant company events, team-building.

Education Requirements:

• Bachelor’s degree in Finance, Accounting, or a related field; MBA or CPA preferred.

Experience Requirements:

• Proven track record in a senior finance leadership role, ideally at a high-growth startup, with experience at the Series A stage or beyond.

• Strong expertise in building complex financial models and creating insightful KPI dashboards.

• Experience leading or supporting successful fundraising efforts, including Series B+ financing rounds.

• Deep understanding of SaaS or AI/ML business models and metrics.

Responsibilities:

• Develop and maintain dynamic financial models to support business forecasting, scenario planning, and strategic decision-making.

• Design, implement, and manage KPI dashboards to provide real-time insights into business performance and key growth drivers.

• Collaborate closely with the Financial Controller to lead annual budgeting and long-term financial planning, ensuring seamless alignment with the company’s strategic objectives.

• Collaborate with the CEO and leadership team to execute fundraising strategies for future financing rounds.

Benefits:

• Extensive / Generous health, dental, and vision insurance.

• Highly competitive paid parental leave and support system.

• Ownership in the business through an Equity Incentive Plan.

• Generous paid time off and / or flexible work arrangements.

• Daily meals in-office, vibrant company events, team-building.

Education Requirements:

• Bachelor’s Degree.

Experience Requirements:

• 1+ years of experience in a Business Development or Sales Development role at a high-growth SaaS or tech company.

• Experience with Salesforce, Outreach, Zoominfo, etc.

• Willingness to engage in a high volume of outbound calling and emailing activities daily.

• Self-motivated with the ability to thrive in a fast-paced, high-growth environment within a distributed workforce.

Responsibilities:

• Educate the Market–Most companies don’t realize AI can prevent injuries. You’ll be the first to tell them.

• Own outbound prospecting—research, identify, and engage key prospects to build a high-value sales pipeline.

• Break through the noise—use creative, multi-channel outreach (cold calls, emails, LinkedIn) to grab attention and drive conversations.

• Engage top decision-makers—connect with leaders in safety, operations, and risk management to uncover pain points and spark interest.

Benefits:

• Stock options (based on seniority level)

• Learning and development

• Health, dental, and vision insurance

• Paid time off

• Paid parental leave Wellness Coverage Referral bonus program

Responsibilities:

• Design, test, and refine LLM prompts to optimize response quality, consistency, and accuracy.

• Experiment with prompt structures, context injection, and retrieval-augmented generation (RAG) to improve model outputs.

• Develop prompt evaluation frameworks, incorporating quantitative and qualitative assessments.

• Analyze AI responses for hallucinations, biases, inconsistencies, and improve prompt structures accordingly.

• Collaborate with AI engineers, product managers, and UX designers to align AI-generated outputs with business and user needs.

Benefits:

• Stock options (based on seniority level)

• Learning and development

• Health, dental, and vision insurance

• Paid time off

• Paid parental leave Wellness Coverage Referral bonus program

Responsibilities:

• Own the end-to-end LLM pipeline, ensuring scalability, maintainability, and documentation.

• Design and optimize LLM inference pipelines for production, ensuring scalability and reliability.

• Profile and optimize model performance based on speed, cost, and compute resource utilization.

• Work with cloud-based AI services (AWS, GCP, Azure) to manage compute resources efficiently.

• Monitor and log model performance, identifying areas for optimization.

Benefits:

• Stock options (based on seniority level)

• Learning and development

• Health, dental, and vision insurance

• Paid time off

• Paid parental leave Wellness Coverage Referral bonus program

Responsibilities:

• Develop and execute AI model evaluation strategies, ensuring accuracy, consistency, and fairness.

• Implement automated and manual testing for LLM-based applications.

• Collaborate with the AI Engineer to integrate testing into early-stage development.

• Build and manage test datasets, ensuring high-quality, diverse, and balanced samples.

• Develop synthetic data pipelines to enhance model evaluation.