AI Jobs

Benefits:

• Remote-first company environment

• Work from anywhere in the U.S.

• Work with a world-class team of AI engineers

• Lead the next frontier of AI adoption in Energy

• Solve high-value challenges impacting the future

Experience Requirements:

• 3+ years of ML engineering experience

• Expertise in Python, TensorFlow or PyTorch, NumPy/SciPy, and FastAPI

• Experience building and managing ML pipelines (CI/CD, Git, Docker)

• Demonstrated ability to deploy and manage ML models at scale

Other Requirements:

• U.S. work authorization required

• Strong understanding of neural networks and optimization algorithms

• Familiarity with physics-informed ML or simulation-based learning

• Strong collaboration and problem-solving skills

• Experience in modeling physical processes is a plus

Responsibilities:

• Design, refactor and optimize ML models into production code

• Develop and maintain training pipelines and deployment workflows

• Collaborate with Solutions Architects on integration requirements

• Implement and test physics-informed and hybrid ML models

• Manage model performance for real-time decision-making

Benefits:

• Impact the early stages of a startup

• Be an integral part of the senior leadership team

• Shape the vision and strategy for growing the startup

• Stock options

• Commission: 10% – 20%

Experience Requirements:

• 10+ years of selling enterprise SaaS in the Retail industry

• Proven experience selling complex software solutions to $50MM+ in revenue retailers

• Demonstrated success calling on senior executives decision makers in large companies

• Proven record of driving and closing large, complex sales

• Proven leadership in sophisticated sales cycles resulting in 6 and 7 figure subscription commitments

Other Requirements:

• Proven hunter with a strong desire to win and make an impact

• Deep experience defining and developing marketing and lead generation strategies

• Highly collaborative

Responsibilities:

• Develop Polymatiks’ sales strategy, and execute it successfully in-market

• Demonstrate industry expertise, thought leadership, and be a trusted advisor

• Leverage existing network of relationships with senior retail leaders to drive sales early

• Generate new leads to develop and expand individual pipeline

• Meet or exceed monthly and annual sales targets ($3M ARR first year)

Benefits:

• High Impact: Short decision-making paths

• Flex Work: Remote first with office access

• Team Spirit: Young, motivated team

• Learning Environment: Insights into D2C strategies

• Real Responsibility: Impact on growth

Experience Requirements:

• 1-2 years of professional marketing experience

• Interest in D2C / E-Commerce space

• Familiarity with performance marketing

Other Requirements:

• Hands-on mentality

• Fluent German and good English

• Analytical thinking

• Knowledge of Meta Business Suite, Google Ads, or HubSpot (Nice-to-have)

Responsibilities:

• Create campaign content (blogs, case studies, social media, newsletters)

• Manage CEO's LinkedIn profile and personal brand

• Create and maintain product marketing materials

• Coordinate freelancers and external agencies

• Operative implementation of marketing projects

Benefits:

• Early-stage leverage

• Real ownership

• High Learning Velocity

• High trust, high autonomy

Experience Requirements:

• 2 to 4 years

• Proven track record in B2B Growth, Demand Gen, or Marketing Ops

Other Requirements:

• HubSpot (CRM/MA), Clay (Enrichment), GA4, and Automation/IPaaS tools

• Expertise in Zapier/n8n/make.com, APIs, SQL, and CRM architecture

• Systems Thinker: You build for reuse and scalability

• High proficiency in data interpretation and experiment design

Responsibilities:

• GTM Architecture & Strategic Modeling

• Technical Stack & Data Engineering

• Campaign Engineering & AI Implementation

• Full-Funnel Analytics & Optimization

Benefits:

• Early-stage leverage

• Real ownership

• High Learning Velocity

• High trust, high autonomy

Experience Requirements:

• 2 to 5 years

• Scaled demand at a B2B SaaS startup from ~$1M ARR to $10M+

Other Requirements:

• Hands-on and deeply fluent in LinkedIn Campaign Manager and Google Ads

• Understand the math behind CAC, LTV, and payback periods

• Analytical, experimental, and comfortable owning a number

• Thrive in fast-moving, high-ownership environments

Responsibilities:

• Own the pipeline and top-of-funnel performance

• Manage and optimize budget across LinkedIn, Google Search, and Meta

• Dominate category keywords for high-intent search

• Execute ABM campaigns targeting C-suite and senior engineering leaders

• Partner with design to iterate on ad creative based on data

Benefits:

• Competitive salary with meaningful upside

• Comprehensive health insurance

• Generous vacation policy

• Curated set of paid holidays

Experience Requirements:

• 2 to 5 years

• 2–4 years selling B2B SaaS to US mid-market and enterprise

• Proven track record of quota-crushing performance

Other Requirements:

• Fast learner who thrives in new categories

• High-energy, empathetic, and clear communicator

• Independent, proactive, and comfortable in early-stage environments

Responsibilities:

• Source, qualify, and close high-impact opportunities

• Build and nurture a strong pipeline through outbound motion

• Engage customers through virtual and in-person demos

• Hit and exceed revenue targets

• Partner with product and engineering for successful POCs

Benefits:

• Hands-on training in outbound sales and SaaS GTM

• Mentorship from experienced sales and growth leaders

• Real ownership with a fast learning curve

• Close collaboration with founders and senior leaders

Education Requirements:

• Final-year students / Recent grads

Experience Requirements:

• 0 to 2 years

Other Requirements:

• Strong written and spoken communication skills

• Comfortable aligning with the US time zone (4:00 PM – 2:00 AM IST)

• Curious, proactive, and organized

• Comfortable with rejection and staying consistent

Responsibilities:

• Research and identify target companies and engineering leaders

• Run outbound outreach via email and LinkedIn

• Write personalized, high-signal messages

• Qualify interest and book meetings for the sales team

• Maintain clean and accurate lead data in the CRM

Benefits:

• High-impact, quota-carrying leadership role

• Chance to build and scale a sales team from scratch

• Close collaboration with founders and leadership

• Influence in shaping global engineering team growth

Experience Requirements:

• 5 to 12 years

• 5+ years of B2B SaaS sales experience

• 1 - 1.5 years in a leadership role

Other Requirements:

• Proven track record of achieving quotas

• Experience selling to technical buyers (CTOs, VPs)

• Skilled in pipeline building and account planning

• Data-driven mindset with proficiency in CRM

Responsibilities:

• Carry and achieve an individual quota via mid-market/enterprise cycles

• Build strong relationships with engineering leaders

• Lead and coach a small but growing sales team

• Develop sales playbooks, processes, and enablement

• Partner with marketing to align campaigns and outbound motions

Benefits:

• Build the data foundation for AI-driven engineering insights

• Work directly with founders and senior architects

• Work visible in dashboards viewed by CTOs and CEOs

• Shape productivity measurement for thousands of engineers

• Fast-moving, no-ego, design-driven culture

Experience Requirements:

• 5 to 10 years

• 6–10 years as a Backend or Data Engineer

• Deep hands-on expertise with Java and AWS

• Experience fetching data from GitHub, Jira, or Jenkins APIs

• Expertise in Postgres performance tuning

Other Requirements:

• Strong fundamentals in data modeling and incremental updates

• Experience handling 100M+ records in multi-tenant environments

• Knowledge of AWS (S3, ECS, RDS, Lambda, CloudWatch)

• Ability to build self-healing, production-grade pipelines

Responsibilities:

• Build and scale multi-source data ingestion from Git and Jira

• Refactor and optimize Java-based ETL pipelines

• Design and implement parallel, event-driven processing (Kafka/SQS)

• Own Postgres optimization (schema, partitioning, indexing)

• Maintain data orchestration, lineage, and observability

Education Requirements:

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

Experience Requirements:

• 6+ years of experience in security engineering with a primary focus on application and cloud security

• Proficiency with programming languages like Java, Python, JavaScript and SQL

• In-depth knowledge of application security vulnerabilities and threat modeling

• Deep familiarity with AWS security architecture and services

• Experience with DevSecOps tools (SAST, DAST, container scanning)

Other Requirements:

• Certifications such as OSCP, AWS Security Specialty, or CISSP preferred

• Experience in high-compliance industries (financial services, healthcare) preferred

Responsibilities:

• Perform security assessments across our application stack

• Build and maintain secure SDLC practices

• Design and maintain secure configurations for AWS environments

• Champion a shift-left approach to security

• Support compliance initiatives by building and documenting controls

Experience Requirements:

• 4+ years of experience in backend engineering

• Strong backend programming skills like Java, Node.JS, or similar

• Proven experience building and scaling distributed services, APIs, and event-driven systems

• Familiarity with infrastructure tools such as Docker, Kubernetes, and CI/CD pipelines

• Experience integrating services with data stores and message queues

Other Requirements:

• Experience working on AI-enabled or ML-integrated platforms preferred

• Prior experience working in fast-paced, high-growth product teams

Responsibilities:

• Design and build high-availability, low-latency services

• Contribute to orchestration logic for tool invocation and session management

• Integrate backend systems with AI components like language models

• Identify and resolve performance bottlenecks and scalability challenges

• Participate in design and architecture reviews and mentor junior engineers

Experience Requirements:

• 5–8 years of core DevOps experience building infrastructure from scratch

• Deep expertise in Docker, Kubernetes, Helm, and container orchestration

• Hands-on with Terraform, Crossplane, and declarative infrastructure management

• Proven ability to deploy AI/LLMs and agent workflows reliably in production

• Expertise with vector databases (tuning and scaling)

Other Requirements:

• Proficiency in monitoring and logging tools (Prometheus, Grafana)

• Proficiency in scripting/programming (Python, Bash, Go)

• Knowledge of security best practices in cloud environments

Responsibilities:

• Design, implement, and scale infrastructure across AWS, GCP, or Azure

• Build and manage Kubernetes clusters and service mesh

• Architect CI/CD pipelines (ArgoCD/GitOps, Jenkins)

• Define and track key metrics for AI/LLMs and agent workflows

• Implement end-to-end tracing for multi-turn queries using OpenTelemetry

Benefits:

• 100% paid health, dental & vision care

• 401(k) match & financial wellness perks

• Discretionary PTO + paid parental leave

• Mental health, wellness & family benefits

Experience Requirements:

• 2+ years of experience working directly with transformer architectures and LLM fine-tuning

• Hands-on experience with RLHF/RLAIF and reward modeling

• Deep knowledge of auto-prompting and self-improving agent loops

• Experience improving throughput and token efficiency on GPUs

• Knowledge of PII masking and data encryption in secure model pipelines

Other Requirements:

• Experience with frameworks such as PyTorch, Transformers, Deep Speed

• Exposure to CUDA kernels or model parallelism preferred

Responsibilities:

• Build fine-tuning pipelines and explore open-weight models

• Drive high-throughput, low-latency inference strategies across distributed clusters

• Design data-safe pipelines with encryption for model I/O

• Apply Reinforcement Learning (RLHF/RLAIF) and policy optimization

• Develop and optimize speech-to-speech and multimodal AI pipelines

Benefits:

• 100% paid health, dental & vision care

• 401(k) match & financial wellness perks

• Discretionary PTO + paid parental leave

• Mental health, wellness & family benefits

Education Requirements:

• Advanced degree in Computer Science, AI, Cognitive Science, or Human-Computer Interaction preferred

Experience Requirements:

• 10+ years of experience in software, AI systems, or cognitive computing

• 2+ years building multimodal or interactive AI applications

• Expertise in LLMs, computer vision, or multimodal architectures

• Deep understanding of human-computer interaction principles

• Experience integrating LLM-based agents with external tools or UIs

Other Requirements:

• Proficiency in Python and at least one language like Go or Node.js

• Familiarity with reinforcement learning or imitation learning

Responsibilities:

• Design perception pipelines combining text, visuals, and UI semantics

• Develop planning and reasoning modules for multi-step task execution

• Architect agent behaviors around transparency, safety, and trust

• Implement safe sandbox environments for browser or desktop interaction

• Mentor engineers and applied scientists in agent design

Experience Requirements:

• 8+ years of experience in backend or platform engineering

• Deep understanding of scalability, consistency, concurrency control, and fault tolerance

• Strong experience building service-oriented architectures with APIs and event streams

• Hands-on experience with Vector DBs (Weaviate, Pinecone, etc.)

• Expertise in Go, Rust, Java, or Python

Other Requirements:

• Solid understanding of SQL/NoSQL databases and caching systems

• Experience with cloud-native architectures (Kubernetes, Istio, Terraform)

Responsibilities:

• Architect and build low-latency, fault-tolerant distributed systems

• Optimize system performance from network I/O to database indexing

• Enable AI integrations by designing APIs for RAG and embeddings

• Implement streaming and async systems like Kafka or Pulsar

• Raise the bar for code quality, observability, and technical mentoring

Benefits:

• 100% paid health, dental & vision care

• 401(k) match & financial wellness perks

• Discretionary PTO + paid parental leave

• Mental health, wellness & family benefits

Education Requirements:

• Bachelor’s degree in Information Security, Computer Science, or related field

Experience Requirements:

• 12+ years of progressive cybersecurity leadership experience

• Experience with Cloud Security and controls in AWS environments

• Strong knowledge of FFIEC, GLBA, and other lending regulations

• Knowledge of SOC controls and general IT security frameworks

• Hands-on knowledge of data security, encryption, and threat modeling

Other Requirements:

• Certifications like CISSP, CISM, or CCSP preferred

• Experience in a startup or high-growth SaaS/AI company preferred

Responsibilities:

• Own all aspects of Security, Privacy, and Compliance across the company

• Lead cybersecurity incident response and risk assessment programs

• Oversee compliance with GLBA, FFIEC, and SOC 2 frameworks

• Partner with Sales and Legal to address security inquiries

• Build, mentor, and grow a high-performing security engineering team

Benefits:

• Comprehensive Benefits

Experience Requirements:

• 7-10 years of experience in building and delivering complex, scalable technical products

• Extensive experience with distributed systems and microservices

• Proven track record with real-time interactions (web sockets, long-polling)

• Hands-on experience implementing security and data protection measures

• Proficiency in advanced prompt engineering

Other Requirements:

• Strong advocate for Test-Driven Development (TDD)

• Proficiency in Go, Java, Node.js, or Python

Responsibilities:

• Architect and optimize scalable microservices and APIs

• Implement complex workflows using event-driven architectures like Kafka

• Design and manage robust data models using SQL and NoSQL

• Conduct thorough code reviews and mentor junior developers

• Ensure system reliability via monitoring and logging solutions

Benefits:

• 100% paid health, dental & vision care

• 401(k) match & financial wellness perks

• Discretionary PTO + paid parental leave

• Mental health, wellness & family benefits

Experience Requirements:

• 8+ years of backend engineering experience building distributed systems

• Strong experience with low-latency systems (Voice, Telephony, Streaming)

• 3+ years working with LLM-powered or AI-driven systems in production

• Hands-on experience designing and orchestrating agentic workflows

• Experience managing engineers while remaining deeply hands-on

Other Requirements:

• Strong proficiency in Typescript and backend languages (Node.js, Go, Java)

• Experience deploying AI systems in cloud environments

Responsibilities:

• Drive AI-first thinking across product architecture and execution

• Architect systems coordinating multiple AI agents with memory and planning

• Design distributed backend systems serving real-time interactions

• Maintain high standards for observability, monitoring, and debugging

• Build and grow a high-performance team with bias to action

Benefits:

• Join a high profile startup that is scaling fast

• Ability to shape your role and the company

• Entrepreneurial, fast-paced, solution-focused workplace

• Flexible working to support families

• Fully remote with regular in-person meetings

Experience Requirements:

• Excited about startups and seeing how they are built

• Curious, analytical and love solving problems

• Great communicator with warehouse staff and founders

• Self-starter who takes ownership

• Comfortable travelling to warehouses

Other Requirements:

• Bring great energy

• Smart, curious and excited to learn fast

Responsibilities:

• Work closely with warehouses, couriers and internal teams

• Visit fulfilment centres across the UK

• Dive into data and suggest improvements to tools/processes

• Be the voice of e-commerce seller customers

• Help set and measure KPIs

Benefits:

• Direct and open communication culture

• Highly collaborative environment

• Commitment to self-improvement and continuous learning

• Rapid iteration and release cycle

• Simple, effective solution-focused work

Experience Requirements:

• 2+ years in a senior software engineering role in a startup

• Strong backend fundamentals and commercial experience with Go

• Extensive experience with AWS and serverless (Lambda)

• Experience designing and working with RESTful APIs

• Familiar with AI-powered development tools like GitHub Copilot

Other Requirements:

• Product-oriented mindset

• Pragmatic builder with a knack for simplifying systems

• Experience in e-commerce or logistics is a plus

• Comfortable with Terraform and PostgreSQL

Responsibilities:

• Design, develop, and maintain scalable components and APIs

• Take ownership of key domain-specific services

• Collaborate with product and operations on technical roadmaps

• Champion engineering excellence and workflows

• Mentor other engineers through code reviews and design