Education Requirements:

• bachelor’s degree or foreign equivalent in Computer Science, Engineering (any), or related

• master’s degree or foreign equivalent in Computer Science, Engineering (any), or related

Experience Requirements:

• 5 years of experience in the job offered or as a Computer Software Professional (with bachelor's)

• 3 years of experience in the job offered or as a Computer Software Professional (with master's)

Other Requirements:

• Work with various technologies such as Java, Oracle, PL/SQL, HTML, Varicent, Salesforce, Anaplan, Snowflake.

• Travel/relocate to various unanticipated locations throughout the U.S. for long- and short-term assignments at client sites.

Responsibilities:

• Design, develop, implement, test and deploy software applications.

• Analyze systems to ensure proper database architectures, coding standards, and that quality assurance policies and procedures are met.

• Research, analyze and determine information needs and dataflow requirements.

• Gather and evaluate user requirements and procedures.

• Review/analyze functional requirements and mapping documents and write test cases and scenarios.

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field.

Experience Requirements:

• 6+ years of experience in data architecture, data engineering, or a related field.

• Extensive experience with Snowflake, including designing and implementing Snowflake-based solutions.

• Must have exposure working in Airflow

• Proven track record of contributing to data projects and working in complex environments.

Other Requirements:

• Familiarity with cloud platforms (e.g., AWS, GCP) and their data services.

• Snowflake certification (e.g., SnowPro Core, SnowPro Advanced) is a plus.

Responsibilities:

• Design and implement scalable, efficient, and secure Snowflake solutions to meet business requirements.

• Develop data architecture frameworks, standards, and principles, including modeling, metadata, security, and reference data.

• Implement Snowflake-based data warehouses, data lakes, and data integration solutions.

• Manage data ingestion, transformation, and loading processes to ensure data quality and performance.

• Collaborate with business stakeholders and IT teams to develop data strategies and ensure alignment with business goals.

Education Requirements:

• Bachelor’s degree in Engineering, Computer Science, Information Technology, or a related field.

Experience Requirements:

• Strong experience in Snowflake, including designing, implementing, and optimizing Snowflake-based solutions.

• Hands-on expertise in PLSQL, including writing and optimizing complex queries, stored procedures, and functions.

• Proven ability to work with large datasets, data warehousing concepts, and cloud-based data management.

• Proficiency in SQL, data modeling, and database performance tuning.

• Experience with ETL/ELT processes and integrating data from multiple sources.

Other Requirements:

• Familiarity with cloud platforms such as AWS, Azure, or GCP is an added advantage.

• Snowflake certifications (e.g., SnowPro Core, SnowPro Advanced) are a plus.

• Strong analytical skills, problem-solving abilities, and attention to detail.

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

Responsibilities:

• Design, develop, and maintain data pipelines in Snowflake to support business analytics and reporting.

• Write optimized PLSQL queries, stored procedures, and scripts for efficient data processing and transformation.

• Integrate and manage data from various structured and unstructured sources into the Snowflake data platform.

• Optimize Snowflake performance by tuning queries, managing workloads, and implementing best practices.

• Collaborate with data architects, analysts, and business teams to develop scalable and high-performing data solutions.

Experience Requirements:

• 2-4 years

Experience Requirements:

• 2-4 years

Experience Requirements:

• 2-4 years

Experience Requirements:

• 3-5 years

Benefits:

• Work alongside a highly competent, top-tier team (Y Combinator, ex Palantir, AWS, Revolut, Zalando).

• Great career development opportunities in a fast-growing company.

• Low bureaucracy, minimal meetings, async communications culture, and flat structure.

• Significant equity option package at a YC-backed startup.

• You’ll be paid at the top of your market level.

Experience Requirements:

• A minimum of 3 years experience working as a product designer shipping preferably for an enterprise or a complex product.

Other Requirements:

• Portfolio with a minimum of 2 case studies is a must.

• Can understand our product or have experience working with complex enterprise products.

• Have the ability to see and understand the requirements beyond the problem statements.

• Can understand user insights & requirements.

• Have the ability to quickly adapt to the product and take ownership of it.

Responsibilities:

• Can understand our product or have experience working with complex enterprise products.

• Have the ability to see and understand the requirements beyond the problem statements.

• Can understand user insights & requirements.

• Can translate requirements into user-friendly designs.

• Can perform user testing and understand how design can affect metrics/goals.

Benefits:

• Ground floor impact at a seed-stage startup with tremendous latitude over technical strategy and approach

• Significant, potentially life-changing equity

• Report directly to a founder of the company

• Ability to rapidly advance your career alongside company growth

• Collaborate with experienced teammates, entrepreneurs, and advisors

Experience Requirements:

• 2+ years experience as a software engineer

• Hands-on experience working on frontend and backend software systems

Other Requirements:

• Pride in developing high quality product that solve real customer problems

• Primarily a builder and excited about spending 80%+ of your time actively developing software

• Own what you build and take pride in shipping robust high quality software

• Comfortable with ambiguous product requirements

• Comfortable meeting with customers

Responsibilities:

• Own and deliver major customer-facing components end-to-end

• Understanding customer needs

• Helping compile sprint requirements

• Ultimately shipping core product features

• Focus primarily on designing and building user-facing tools

Benefits:

• Ground floor impact at a seed-stage startup with tremendous latitude over technical strategy and approach

• Significant, potentially life-changing equity

• Report directly to a founder of the company

• Ability to rapidly advance your career alongside company growth

• Collaborate with experienced teammates, entrepreneurs, and advisors

Experience Requirements:

• 4+ years experience as a software engineer

• Hands-on experience working on frontend and backend software systems

• Demonstrated significant impact for your team and your organization

Other Requirements:

• Pride in developing high quality product that solve real customer problems

• Primarily a builder and excited about spending 80%+ of your time actively developing software

• Own what you build and take pride in shipping robust high quality software

• Comfortable with ambiguous product requirements

• Comfortable meeting with customers

Responsibilities:

• Own and deliver major customer-facing components end-to-end

• Understanding customer needs

• Helping compile sprint requirements

• Ultimately shipping core product features

• Focus primarily on designing and building user-facing tools

Education Requirements:

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field

• Certifications like AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA), or Certified Information Systems Security Professional (CISSP) are a plus

Experience Requirements:

• Minimum 5 years of experience in DevOps, SRE, or infrastructure engineering

• Proven experience with on-premise infrastructure management as well as public cloud platforms (AWS, GCP, Azure)

• Proficient in scripting languages like Bash, Python, or Go

• Hands-on experience with CI/CD tools like Jenkins, GitLab CI/CD, ArgoCD, or CircleCI

• Solid understanding of networking, firewalls, VPNs, and load balancing in both cloud and on-prem contexts

Other Requirements:

• Experience with hybrid workload orchestrators (e.g., Anthos, Azure Arc)

• Knowledge of observability best practices and tools like Open Telemetry

• Familiarity with policy-as-code tools like OPA/Gatekeeper or HashiCorp Sentinel

Responsibilities:

• Design, build, and maintain scalable and resilient CI/CD pipelines for on-prem, cloud (AWS/Azure/GCP), and hybrid environments

• Implement and manage infrastructure-as-code (IaC) using tools such as Terraform, Ansible, or Pulumi

• Oversee container orchestration and deployment using Docker, Kubernetes, and other relevant platforms

• Lead configuration and monitoring of infrastructure with Prometheus, Grafana, ELK Stack, or similar tools

• Implement security best practices in infrastructure and deployment pipelines (DevSecOps)

Experience Requirements:

• Proven track record of managing engineering teams.

• Solid understanding of machine learning fundamentals.

• Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables.

• Track record of promoting software engineering best practices and excellence within the team.

• Demonstrated ability to manage software engineers and grow their careers.

Responsibilities:

• Help define and drive scenario generation technology roadmap to deliver on company goals and priorities

• Lead technical discussions and guide technical direction where needed

• Set effective KPIs and metrics

• Build resilient and reliable systems, and teams, anticipate the needs of the business 18 months out, identify areas where additional resources are needed and grow team as hiring manager

• Prioritise effectively, implement and maintain lean and effective team processes

Benefits:

• onsite chef

• workplace nursery scheme

• private health insurance

• cycle scheme

• therapy

Education Requirements:

• BSc above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience

Experience Requirements:

• 7+ years of software and machine learning engineering experience in an industrial or applied research environment

• Good insight into the practical aspects of training, validation, testing and metrics for deep learning features/models

• Comfortable working with large quantities of image and video data

Other Requirements:

• Passion to work in a team on research ideas that have real product impact

• A good grasp of machine learning literature, ideally published

Responsibilities:

• Technical leadership of at least one company wide program

• Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.

• Collaborating with cross-functional teams to contribute to the broader company strategy and roadmap, focusing on machine learning applications.

• Enhancing skills and knowledge in machine learning through continuous learning and application, while contributing to the growth and mentorship of junior engineers.

• Allocating personal bandwidth and technical resources effectively to meet both project requirements and personal professional development needs.

Benefits:

• onsite chef

• workplace nursery scheme

• private health insurance

• cycle scheme

• therapy

Education Requirements:

• BSc above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience

Experience Requirements:

• 7+ years of software and machine learning engineering experience in an industrial or applied research environment

• Good insight into the practical aspects of training, validation, testing and metrics for deep learning features/models

• Comfortable working with large quantities of image and video data

Other Requirements:

• Passion to work in a team on research ideas that have real product impact

• A good grasp of machine learning literature, ideally published

Responsibilities:

• Technical leadership of at least one company wide program

• Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.

• Collaborating with cross-functional teams to contribute to the broader company strategy and roadmap, focusing on machine learning applications.

• Enhancing skills and knowledge in machine learning through continuous learning and application, while contributing to the growth and mentorship of junior engineers.

• Allocating personal bandwidth and technical resources effectively to meet both project requirements and personal professional development needs.

Benefits:

• Fully employer-covered medical, dental and vision insurance

• catered lunch

• yummy snacks

• variety of drinks

• life insurance

Education Requirements:

• M.S. or Ph.D. in Computer Science, Machine Learning, or related fields

Experience Requirements:

• 10+ years of industry experience.

• Proven experience in building, deploying, and scaling production-level ML solutions.

• Deep understanding of ML fundamentals with expertise in one or more areas: Deep Learning, Computer Vision, Traditional ML, or Large Language Models.

• Proficiency in Python, with a strong focus on clean, well-structured, and testable code.

• Experience leading and executing large-scale, cross-functional projects.

Responsibilities:

• Lead the development of robust ML models and augmentation techniques that power our scenario generation and validation systems.

• Architect scalable systems for mining, curating, and synthesizing data to fuel scenario databases, using both real-world and synthetic data.

• Collaborate with cross-functional teams, including Simulation and Science, to integrate state-of-the-art technologies into our scenario pipelines.

• Drive innovation in scenario coverage, focusing on both closed-loop and open-loop evaluations.

• Own end-to-end technical solutions: from translating product requirements into engineering tasks to delivering high-impact ML models and infrastructure improvements.

Experience Requirements:

• Experience with workflow orchestration systems (e.g. Airflow, Dagster, Flyte, etc.) and/or developing data intensive applications

• Excellent development skills in Python

• Deep knowledge of Kubernetes at the user level

• Good sense of systems and data oriented software engineering design - what makes code reusable and extensible

• Understanding of common software performance issues and design tradeoffs

Other Requirements:

• Excellent communication and people engagement skills

Responsibilities:

• Own key performance indicators (KPIs) for simulator cost, SLOs, throughput, latency, etc.

• Work cross-company on aligning technical dependencies for simulator implementation

• Lead technical discussions and guide technical direction

• Effectively integrate the components of the simulated robot into the simulation platform

• Effectively integrate machine-learned graphics subsystems into the simulation platform

Experience Requirements:

• Technical leadership in relevant domain (multi-modal calibration, SLAM, computer vision, estimation).

• Team growth and leadership. Proven ability to mentor and grow a high-performing engineering team, fostering a culture of engineering excellence, collaboration, and continuous improvement.

• Interface with product & programmes. Track record of working with product and programme functions to plan and prioritise, and handle change of direction and priorities.

• Strategic prioritisation and decision making. Expertise in navigating shifting priorities, balancing long-term architecture with urgent support requests, and making data-driven trade-offs between impact, feasibility, and resources.

Responsibilities:

• Managing delivery of the technical roadmap – forecasting dependencies and helping to unblock the team.

• Understanding the long-term production strategy for calibration, and building and aligning the calibration technical roadmap towards it

• Helping the team to balance urgent operational day-to-day requirements with delivery of the long-term roadmap

• Aligning with technical stakeholders to define SLAs for calibration

• Help the team handle fleet scaling and create more time for roadmap delivery by increasing automation, monitoring and observability of the pipeline

Experience Requirements:

• 10+ years of hands-on leadership in business intelligence, advanced analytics, or data science

Other Requirements:

• Expert-level proficiency in Databricks or Snowflake, Microsoft Power BI, and Tableau

• Advanced SQL skills with substantial experience in modern data warehousing architectures

• Strong Python capabilities for sophisticated data manipulation and transformation in AI/ML environments

• Proven track record of creating intuitive, AI-enhanced dashboards that effectively communicate complex insights

• Extensive experience conducting business process analysis and generating actionable intelligence for automation and optimization

• Exceptional autonomy with the ability to drive projects independently while collaborating seamlessly across functions

• Strategic analytical mindset focused on converting data into measurable business impact through both descriptive (what happened) and prescriptive (what should happen) approaches

• Outstanding communication skills with the ability to translate complex AI-powered data narratives into compelling, strategic recommendations

• Bonus experience in process mining, AI-driven analytics, value engineering, or automation intelligence

Responsibilities:

• Lead the analytics revolution by designing and implementing both descriptive analytics that illuminate what's happening and prescriptive analytics that guide what should happen next

• Architect and deliver sophisticated customer-facing dashboards that translate AI-powered process intelligence into clear automation opportunities and performance metrics

• Pioneer industry-specific analytics frameworks that showcase the transformative potential of AI in optimizing business processes

• Execute deep-dive analyses that uncover hidden patterns and trends, enhancing Skan's AI models and driving continuous product improvement

• Push the boundaries of data visualization to make complex insights immediately accessible and actionable

Experience Requirements:

• 6-10 years of business intelligence or data analytics experience – experience with Snowflake and Microsoft PowerBI preferred

• 3+ years’ experience working with BI tools or any data-specific role with a sound knowledge of database management, data modeling, business intelligence, SQL querying, data warehousing, and online analytical processing

Other Requirements:

• In-depth understanding and experience with Microsoft BI stacks such as Power Pivot, SSIS, SSRS, and SSAS

• Experience using Python to parse, structure, and transform data

• Affinity for numbers and metrics

• Ability to create user friendly and concise dashboards which enable the customer to understand their process better

• Clear and effective communication skills

• Team Player with willingness to learn

• Ability to coordinate with different teams across the organization

• Analyzing industries, overall economic and corporate trends

• Conduct and facilitate internal and external research and discovery around customer business processes

• Hands-on experience with PowerBI

• Previous industry experience in Banking, Finance or Healthcare

• Data Analytics certification

Responsibilities:

• Ability to interpret data and build/modify dashboards jointly with customers, and based on data, propose potential process improvement solutions with internal teams and customer stakeholders

• Work with data to arrive at key metrics and KPI’s for our customers. E.g. NPS (Net Promoter Score), FPR (First Pass Rate) etc

• Create dashboards with a high level of creativity to bring out powerful business value through insights and stories and present to internal stakeholders

• Uncover trends and correlations through data mining and analysis to develop insights that can improve the business and help make effective decisions

• Analyze unique operational data to find new and deep insights that bring our customers' value

Education Requirements:

• Bachelor's/Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field

Experience Requirements:

• Experience in training and deploying ML models in production

Other Requirements:

• Strong programming skills in Python

• Proficiency with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-learn)

• Knowledge of cloud computing (AWS, GCP, Azure) and MLOps tools

• Understanding of data structures, algorithms, and optimization techniques

• Experience with data engineering, feature extraction, and model evaluation

• Knowledge of deep learning techniques (CNNs, RNNs, Transformers, GANs, etc.)

• Experience with LLMs (GPT, BERT, LLaMA, T5) and fine-tuning models

• Knowledge of multi-modal AI (text, image)

• Knowledge of reinforcement learning, planning, and decision-making models

• Hands-on experience with big data processing and big data frameworks

• Familiarity with vector databases

• Experience in real-time AI applications for high-performance systems

Responsibilities:

• Design, develop and optimize ML/AI models for classification, regression, and recommendation systems.

• Implement machine learning pipelines (end-to-end), from data preprocessing to model deployment.

• Develop and fine-tune deep learning architectures using TensorFlow, PyTorch etc.

• Apply MLOps best practices for model versioning, monitoring, and retraining.

• Work with large-scale datasets, performing feature engineering and data augmentation.