Benefits:

• Equity/options after product launch

Experience Requirements:

• Machine learning

Other Requirements:

• Willingness to work without pay for 6-12 months

• Skepticism towards Efficient Market Hypothesis (EMH)

Responsibilities:

• Developing TradeX.ai's infrastructure and design processes

Benefits:

• Equity/options after product launch

Experience Requirements:

• Android/iOS development

Other Requirements:

• Willingness to work without pay for 6-12 months

• Skepticism towards Efficient Market Hypothesis (EMH)

Responsibilities:

• Developing TradeX.ai's infrastructure and design processes

Benefits:

• Equity/options after product launch

Experience Requirements:

• React, Python

Other Requirements:

• Willingness to work without pay for 6-12 months

• Skepticism towards Efficient Market Hypothesis (EMH)

Responsibilities:

• Developing TradeX.ai's infrastructure and design processes

Benefits:

• Uncapped commission earning potential based on company performance.

• Remote working (with the option of working in our office space in the Manchester).

• Private Vitality medical insurance.

• Private Pension with company contributions (up to 3% matched by us).

• 28 days holiday plus 8 UK bank holidays. Favourable paternity/maternity leave. Additional day of holiday to utilise for charity or volunteering Give As You Earn scheme to a charity of your choice. Excellent opportunity for career progression

Experience Requirements:

• strong background in ETL/maintaining data pipelines

• comfortable with reading code to identify fixes and making changes

• experience with manipulating audio files

• exposure to transforming call centre data

Responsibilities:

• Maintain build schedules so that pipelines run

• Respond, Triage, and debug the pipeline when it is broken

• Be part of a team responsible for deploying new features to the product platform

• Reading code and writing code changes and/or modifying the monitoring set-up where necessary

• Work with client teams to understand data transformations required

Benefits:

• $175,000 base salary

• Equity options

• Remote-first - work anywhere in the US

• Health, vision, and dental insurance

• Unlimited PTO

Experience Requirements:

• 7+ years of experience as a Data Engineer

Other Requirements:

• deep expertise in AWS services (Redshift preferred)

• proficient with Python and have experience working with Kubernetes (K8s)

• comfortable ingesting data from third-party APIs and familiar with modern orchestration tools (e.g., Airflow)

• comfortable with Infrastructure as Code (e.g., Terraform)

• experience mentoring engineers and enjoy sharing your knowledge, particularly in areas like data warehousing, pipelines, and architecture

• product mindset, balancing technical excellence with business needs to deliver scalable solutions

• communicate complex topics clearly, whether you’re writing technical specs or aligning stakeholders around a project plan

Responsibilities:

• Scope and own projects to build, improve, and maintain scalable data ingests and pipelines

• Design and implement solutions that are resilient, well-monitored, and cost-effective

• Lead technical initiatives, working closely with Product Managers and cross-functional teams to develop clear, detailed technical specifications

• Share knowledge with your peers through design and code reviews, fostering a culture of continuous learning

• Stay curious—evaluate emerging technologies and tools to improve efficiency and effectiveness in our engineering processes

Benefits:

• Base salary + commission plan (50-50 OTE split)

• Remote-first - work anywhere in the US

• Health, vision, and dental insurance

• Unlimited PTO

• 10 Paid Holidays

Experience Requirements:

• 3+ years of experience as an account executive in SaaS sales

• experience navigating six to seven figure ACV sales processes with large, complex customer prospects

• experience working in early-stage startups and are comfortable navigating ambiguity

Other Requirements:

• entrepreneurial, proactive, and thrive in a fast-paced, high-growth environment

• top performer in your current role, with strong communication skills and a consultative sales approach

• technical curiosity to learn and explain complex concepts, such as how we pixel a site or the basics of a data warehouse implementation

• team-first mindset and are eager to help others succeed while simultaneously driving your own results

Responsibilities:

• Own the sales cycle end-to-end: qualify opportunities, run product demos, negotiate terms, and close enterprise level deals

• Work both inbound leads generated by the SDR team and self-sourced opportunities

• Apply a consultative approach to uncover customer needs and provide tailored solutions, particularly in large, complex organizations with multiple layers of stakeholders involved

• Efficiently manage a pipeline of prospective customers, ensuring accurate sales forecasting

• Achieve and exceed ambitious monthly quotas, demonstrating consistent performance

Benefits:

• Competitive salary

• Annual profit share scheme

• Opportunity for share ownership scheme

• Hardware budget for all employees, computer equipment for you to keep

• Private healthcare cover

Education Requirements:

• A degree in computer science, mathematics, or a science related subject

Experience Requirements:

• At least 3 years of experience writing and deploying production-grade Python

• Experience managing and mentoring software engineers

Other Requirements:

• Able to commute to our central Manchester office 3 days per week

• UK citizen

• Due to the sensitive nature of some projects, you will be expected to undergo UK government security clearance after you start (at SC level)

Responsibilities:

• Working directly with clients to understand their needs and recommend appropriate solutions

• Owning the delivery of key features (planning, architecting, coding, delegating)

• Ensuring our high engineering standards are maintained and our clients are delighted

• Helping to run sprint planning sessions, retrospectives and code reviews

• Staying up-to-date with a fast-moving industry, embracing new tools and frameworks

Benefits:

• Competitive salary

• 25 days holiday rising to 30 with service

• Equity option scheme

• Hybrid working

• Cycle to Work Scheme

Education Requirements:

• A degree in computer science, mathematics, or a science related subject

Experience Requirements:

• At least 3 years of experience writing and deploying production-grade Python

• Experience managing and mentoring software engineers

Other Requirements:

• Able to commute to our central Manchester office 3 days per week

• UK citizen

Responsibilities:

• Being hands-on with the technical delivery of the project

• Working directly with clients to understand their needs and recommend appropriate solutions

• Owning the delivery of client projects, from discovery to completion and handover

• Leading sprint planning sessions, retrospectives and code reviews

• Working as part of the team, sharing and reviewing ideas, mentoring and guiding team members through technology, architecture, and implementation details

Benefits:

• Learn and Grow - Working on the forefront of technology

• Open work environment - Challenge yourself and define your own focus

• Ownership of your work – Take responsibility for the full value chain

• Company shares via virtual employee stock option program

• Flexible working hours and remote work options (up to 50% of your time)Competitive Compensation

Education Requirements:

• Degree in computer science, informatics, engineering or related (Bachelor, Master, or PhD)

Experience Requirements:

• Strong technical foundation and experience in at least one of the following fields: On vehicle code development, embedded deployment, implementing safety related functions in automotive dev. processes, deep learning, computer vision, probabilistic sensor-fusion

• Experience in Robotics, driver assistance systems and / or autonomous driving.

• Experience with modern C++, Python and embedded software engineering for real-time applications.

• Experience with modern software engineering tools, including version control, continuous integration and testing as well as cloud-based development processes.

• Ability to work in a fast-paced and dynamic environment with complex technical challenges and requirements.

Other Requirements:

• Willingness to deep-dive into new challenges and make our product a true next-generation software platform for automotive applications.

• Strong team-player and the ability to communicate complex technology in a clear and straight-forward way to match customer and project expectations.

Benefits:

• Learn and Grow - Working on the forefront of technology

• Open work environment - Challenge yourself and define your own focus

• Ownership of your work – Take responsibility for the full value chain

• Flexible working hours and remote work options (up to 50% of your time)

• Competitive Compensation

Education Requirements:

• Bachelor’s or master’s degree in a business-related field with a strong academic record

Experience Requirements:

• Experience in the mobility sector, management consulting, a technology company, or venture capital.

• Strong affinity for technology and innovation.

• Ability to work in a fast-paced and dynamic environment.

• Willingness to deep-dive into new challenges.

• Team-player with excellent communication skills.

Other Requirements:

• Proficiency in German is a plus but not required.

• Availability to commit to a minimum of 6 months.

Responsibilities:

• Business and go-to-market strategy development.

• Business Plan maintenance, refinement & scenario analysis.

• Financial accounting, stakeholder reporting, and customer relations handling.

• Coordination of internal and external company events, including trade fairs, customer demonstrations, and team events.

• Conception and realisation of marketing initiatives.Support with fundraising activities.

Benefits:

• Learn and Grow - Working on the forefront of technology

• Open work environment - Challenge yourself and define your own focus

• Ownership of your work – Take responsibility for the full value chain

• Flexible working hours and remote work options (up to 50% of your time)

• Competitive Compensation

Education Requirements:

• Degree in computer science, informatics, engineering or related (Bachelor)

Experience Requirements:

• Study background in at least one of the following fields: Deep learning, data-driven algorithms, probabilistic sensor-fusion, safety requirements and engineering.

• Interest in driver assistance systems and / or autonomous driving.

• Experience with Python and/or modern C++.

• Ideally experience with modern software engineering tools, including version control, continuous integration and testing as well as cloud-based development processes.

• Ability to work in a fast-paced and dynamic environment with complex technical challenges and requirements.

Other Requirements:

• Willingness to deep-dive into new challenges and make our product a true next-generation software platform for automotive applications.

• Strong team-player and the ability to communicate in a clear and straight-forward way

• 15+ hours availability

Responsibilities:

• Work in close collaboration with senior team members on the full development cycle of one or more software components within the Mapless Autonomy Platform.

• Implement high quality embedded software ready for real-time deployment on real vehicles.

• Ensure the performance and quality with software and simulation testing as well as deployment under real-world conditions on our development vehicle.

• Evaluate new algorithms and approaches in proof-of-concept projects.

Benefits:

• Innovative company culture

• Flexible work schedules

• Family paid leave

• Paid healthcare for employees

• 401k

Experience Requirements:

• 5+ years of relevant experience in marketing and product marketing

• Experience in working with sales teams in B2B

• Proven track record of managing complex projects and delivering them on time

Other Requirements:

• Experience in cybersecurity is required

• Exceptional communication skills, with the ability to craft and narrate engaging stories

• Data-oriented mindset, with the ability to leverage data and insights

• Self-starter with the ability to work proactively and take ownership

• Previous startup experience

Responsibilities:

• Written and verbal communication via marketing materials (e.g. case studies, seller enablement materials, battle cards) and customer-facing content

• Engage in cross-company, client, and broker discussions to glean insights that inform marketing claims, content creation, messaging, and positioning

• Go deep to become the go-to expert for why anyone should choose Resilience’s technology, data science, and solutions by understanding the customer, category, culture, and company

• Advocate for existing and prospective users and buyers to win against the competition

• Collaborate with cross-functional teams such as product managers, underwriting, sales, customer success, and marketing

Benefits:

• Innovative company culture

• Flexible work schedules

• Family paid leave

• Paid healthcare for employees

• 401k

Education Requirements:

• Bachelor's degree in computer science, information security, risk management, and an MBA

Experience Requirements:

• 7+ years of experience with cyber risk management principles and frameworks such as CMMC, GDPR, HIPAA, ISO 27001, NIST CSF, PCI DSS, etc.

• 2+ years of experience in a consultative or advisory role

Other Requirements:

• Strong communication and interpersonal skills to effectively collaborate with mid-level to C-suite stakeholders

• Ability to assess the impact of security vulnerabilities and weaknesses in a company’s networks and quickly recommend changes to processes and technologies to remediate

• Experience in conducting risk assessments and developing risk mitigation strategies

• Understanding of incident response procedures and best practices

• Excellent analytical and problem-solving skills

• Relevant professional certifications (e.g. CISSP, CISA, CISM, CRISC) are a plus

• Ability to work independently and manage multiple tasks in a fast-paced environment

• Strong attention to detail

• Ability to work in a self-directed environment that is highly collaborative and cross-functional

Responsibilities:

• Participate in customer engagements to translate security concepts into risk impact

• Create impactful experiences for key customer stakeholders which include mid-level through C-suite security, risk, and finance professionals

• Assess the impact of security vulnerabilities and weaknesses in a company’s networks and quickly recommend changes to processes and technologies to reduce customer cyber risk

• Own the technical solution response to the customer and help deliver a comprehensive Resilience solution response that leverages the Resilience SaaS portal and your expertise

• Present the solution proposal to the customer, demonstrate how it reduces the customer’s risk and the financial impact of that risk reduction, and how the solution is differentiated from the competition

Experience Requirements:

• 5+ years of experience developing user interfaces with TypeScript, React

• Demonstrated experience in front-end architecture

• Strong proficiency in translating design mockups

• Experience with state management solutions

• Solid understanding of accessibility standards

Responsibilities:

• Architect, design, and develop front-end systems

• Rapidly translate Figma mockups into fully functional user interfaces

• Lead the design reviews

• Optimize applications for speed, scalability, and cross-browser compatibility

• Implement and manage state management solutions

Education Requirements:

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

Experience Requirements:

• 2+ years of experience in software testing and automation framework development

• Proficiency in test frameworks such as Postman, Selenium, and Puppeteer

• Solid coding skills in Python and TypeScript

Responsibilities:

• Lead the QA process for our releases

• Develop automated tests for APIs

• Create automated UI tests

• Collaborate with the DevOps team to design and build test automation frameworks

• Continuously enhance testing processes

Experience Requirements:

• Significant experience deploying and securing production AI/ML infrastructure

• Deep understanding of popular security posture management tools and practices

• Strong familiarity with AI/ML concepts

• Previous experience in security services setup or at a large SaaS security company is highly desirable

Responsibilities:

• Work directly with customers to assess and enhance their AI/ML security posture

• Design and implement architectural patterns and proof of concepts

• Collaborate with cross-functional teams

Experience Requirements:

• Deep domain knowledge in LLM safety and/or evaluation techniques

• Extensive experience in designing, implementing, and maintaining production-ready ML code

• Comfortability with leading end-to-end projects and collaborating with researchers and engineers

• Adaptability and flexibility

Responsibilities:

• Work at the intersection of ML and Engineering

• Perform rigorous testing of the product features

• Push the envelope by implementing novel techniques

• Work closely with our policy, product, and engineering teams

Experience Requirements:

• Domain knowledge in LLM evaluation and data curation techniques

• Extensive experience in designing and implementing LLM benchmarking

• Adaptability and flexibility

Responsibilities:

• Own LLM evaluation processes and methods

• Generate high quality synthetic data, curate labels, and conduct rigorous benchmarking

• Deliver robust, scalable, and reproducible production code

• Push the envelope by developing methods for benchmarking

• Co-author papers, patents, and presentations

Experience Requirements:

• Deep domain knowledge in privacy-preserving ML

• Practical experience in techniques to attack or defend ML models

• Extensive experience in implementing multiple different types of LLM models and architectures

• Adaptability and flexibility

Responsibilities:

• Own an ML privacy vertical

• Collaborate with our engineering team to deliver real-world applications

• Generate high quality synthetic training data, train LLMs, and conduct rigorous evaluation and benchmarking

Experience Requirements:

• Deep domain knowledge in LLM safety techniques

• Extensive experience in designing, training, and implementing multiple different types of LLM models and architectures

• Adaptability and flexibility

Responsibilities:

• Own an LLM vertical with a focus on a specific safety domain

• Generate high quality synthetic data, train LLMs, and conduct rigorous benchmarking

• Deliver robust, scalable, and reproducible production code

• Push the envelope by developing novel techniques and research

• Co-author papers, patents, and presentations