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:

• 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 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:

• 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 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

Experience Requirements:

• Deep domain knowledge in Natural Language Processing

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

• Past experience in leading an end-to-end NLP feature

• Adaptability and flexibility

Responsibilities:

• Be responsible of a vertical for Dynamo AI’s state-of-the-art safety guardrails

• 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:

• Deep research domain knowledge in LLM safety techniques

• Extensive research experience in aligning, training, and/or attacking multiple different types of LLM models and architectures

• Adaptability and flexibility

Responsibilities:

• Spearhead an LLM research domain with a focus on safety, quality, explainability, evaluation, and/or adversarial attacks

• Push the envelope by developing novel techniques and research

• Co-author papers, patents, and presentations

• Lead research projects end-to-end

• Deliver generalizable, scalable, and reproducible algorithms

Education Requirements:

• Bachelor's or advanced degree in finance, mathematics, physics, computer science, engineering, or a related quantitative field

Experience Requirements:

• 3+ years' experience in investment management, financial services, or other industries with significant exposure to financial instruments and concepts, especially risk

Other Requirements:

• Highly entrepreneurial spirit and enthusiasm for the role of technology and AI in finance

• Knowledge of the institutional investment market

• Robust analytical and quantitative skill set

• Ability to sell using a consultative approach

• Ability to communicate credibly about investments, risk, and technology services

• Ability to explain completely new portfolio and risk-related concepts and tools intuitively

• Ability to interact with executives and senior staff

• Ability to multi-task in a fast-paced, results-oriented environment

• Ability to work independently and within cross-disciplinary teams

• Ability to create and maintain marketing materials

Responsibilities:

• Source and qualify business opportunities

• Responsible for the full sales cycle and account strategy for the institutional investor market

• Build long-term relationships through continuous exploration and understanding of client needs

• Develop and execute the strategic business plan

• Manage multiple opportunities through the full sales cycle simultaneously

Benefits:

• Be at the forefront in cutting edge, low power semiconductor development

• Work in a collaborative, dynamic, and flexible startup culture

• Great opportunities for professional growth and career advancement

Education Requirements:

• BS / MS in Electrical or Computer Engineering or equivalent

Experience Requirements:

• 7+ years of experience

Other Requirements:

• Proven experience completing design cycles on delivered SRAM designs

• Skill in bitcell stability analysis

• Good understanding of high-performance and low power circuit designs with FinFet technologies

• Proven experience as the designated responsible individual for a memory design, leading a small team of designers

• Proficiency in scripting language: Python, Tcl

• Experience in <22nm CMOS processes

• Experience in Synopsys custom compiler

• Independent, self-motivated, well-structured, creative

• Good communication skills in English

Responsibilities:

• Lead end to end design team for high-performance, low-power embedded SRAMs on advanced technologies

• Memory compiler development, characterization, and verification

Benefits:

• Be at the forefront of cutting-edge semiconductor technology development

• Work in a collaborative, innovative, and dynamic startup culture

• Opportunity for professional growth and career advancement

• Competitive compensation package and benefits

Experience Requirements:

• 7+ years of experience

Other Requirements:

• Experience in team management

• Experience in development planning

• Experience in embedded systems or compiler design

• Experience in embedded systems/Linux/Windows driver design

• Experience with high-performance computing, e.g. DirectML/OpenCL

• Knowledge of Deep Learning

• Knowledge of Tensorflow/Pytorch

Responsibilities:

• Lead part of the software engineering team

• Plan the development of our software

• Design and supervise the implementation of drivers for embedded systems

• Design and supervise the implementation of model compilers

• Design and supervise the implementation of software API

Education Requirements:

• electronic engineering, computer science, AI, or mathematics or related fields

Other Requirements:

• Familiarity with programming languages like C and C++, Python

• Knowledge and experience with RISC-V processor architecture and SystemVerilog/UVM is preferable

Responsibilities:

• Design a customizable and extendable SystemVerilog UVM-based model of a RISC-V processor, along with the development of a UVM testbench environment to ensure comprehensive integration and functionality

• Ensure the model can support the verification of CV32E20

• Ensure the model can support custom ISA instructions

• Identify and overcome challenges associated with interrupt handling within the RISC-V core

• Integrate the developed SystemVerilog model into an RTL simulator environment

Benefits:

• Comprehensive health coverage (Medical, Dental, Vision)

• Free mental health therapy sessions

• Free One Medical, Tela-doc, and Health Advocate subscriptions

• Cost-savings on gynecology, fertility, and family-building care

• Equity award (stock options or RSUs depending on role and seniority), 401(k) retirement plan contributions match (or equivalent for those outside the US with defined contribution plans, if available in the country where the role is based, otherwise a company contribution to a government-sponsored plan may be available), Flexible time off, Paid parental leave, Annual department retreat, WFH equipment stipend (if remote)

Education Requirements:

• Bachelor's degree (or equivalent experience) in computer science or related field (for some roles)

Experience Requirements:

• 2+ years of experience in a technical support or customer-facing technical role (Technical Support Engineer)

• 5-7 years of enterprise experience with a minimum of 3 within a pre-sales environment (Solutions Engineer)

• 7+ years of growth marketing experience (Director of Growth Marketing)

• 8+ years of experience in a technical role such as software engineering, solution engineering, or machine learning (Developer Advocate)

• 5+ years of experience with a systems programming language like C/C++/Rust/Go, 5+ years of experience with designing and developing high performance distributed systems (Staff Database Engineer)

Other Requirements:

• Proficiency in two or more popular programming languages (Python, JavaScript, Java, Go, C) (Technical Support Engineer)

• Working knowledge of ML and AI (Technical Support Engineer)

• Experience with cloud providers (AWS, Azure, GCP) (Technical Support Engineer)

• Excellent written and verbal communication skills (Technical Support Engineer)

• Strong customer service and problem-solving skills (Technical Support Engineer)

• Ability to work independently in a fast-paced, team environment (Technical Support Engineer)

• Preference for experience working with LangChain, LlamaIndex, OpenAI, Cohere, and other Pinecone integrations (Technical Support Engineer)

• Outstanding presenting skills to both technical and executive audiences (Solutions Engineer)

• Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies (Solutions Engineer)

• Hands-on expertise with SQL and SQL analytics (Solutions Engineer)

• Ability to connect a customer’s specific business problems and Pinecone’s solutions (Solutions Engineer)

• Broad knowledge of cloud platforms; AWS, Azure & GCP is preferred (Solutions Engineer)

• University degree in computer science, engineering, mathematics or related fields or equivalent experience preferred (Solutions Engineer)

• Skills in Data Science and Data Applications Development, including knowledge of; Scala, Python and JavaScript is a bonus (Solutions Engineer)

• Ability to build and scale growth marketing programs targeted at developers (Director of Growth Marketing)

• Curiosity and courage to ask “what if?” and question all assumptions (Director of Growth Marketing)

• Both an analytical and creative approach to driving traffic and maximizing conversions (Director of Growth Marketing)

• Comfort working in a fast-paced and loosely structured (startup) environment with a high degree of autonomy (Director of Growth Marketing)

• Burning desire to make a measurable impact on growth (Director of Growth Marketing)

• Superb communication and interpersonal skills to successfully work with other teams to test and implement changes (Director of Growth Marketing)

• Track record of building and/or scaling successful and efficient growth marketing programs including paid, organic, and email (Director of Growth Marketing)

• Startup experience (Director of Growth Marketing)

• Experience at a data/infrastructure, AI/ML, or developer-tools company (Director of Growth Marketing)

• Experience owning the company website or a significant portion of it (Director of Growth Marketing)

• Proficient with HubSpot marketing platform, Heap Analytics or similar analytics tool, Google Ads, LinkedIn Ads (Director of Growth Marketing)

• Fluency with the modern AI stack: LLMs, vector databases, evaluation tools, etc. (Developer Advocate)

• Superb written and verbal communication skills (Developer Advocate)

• Ability to travel 10–20% of the year throughout the US for events (Developer Advocate)

• Experience leading a product marketing team for a deeply technical product (Director of Product Marketing)

• Exceptionally high standards for your and your team’s work (Director of Product Marketing)

• Comfort working in a fast-paced (startup) environment with a high degree of autonomy (Director of Product Marketing)

• Passion for marketing deeply technical products to a technical audience (Director of Product Marketing)

• Burning desire to make a meaningful impact on the growth of the company and the AI industry (Director of Product Marketing)

• Superb communication and interpersonal skills to successfully work with colleagues, customers, and partners (Director of Product Marketing)

• A passion for technology (Staff Database Engineer)

• Strong foundations in databases and operating systems (Staff Database Engineer)

• Excellent problem-solving skills and attention to detail (Staff Database Engineer)

• Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, dynamic environment (Staff Database Engineer)

• Experience with Rust programming (Staff Database Engineer)

• Expertise working with one of AWS/GCP/Azure cloud platforms (Staff Database Engineer)

• Knowledge and experience in distributed systems and micro-services architecture (Staff Database Engineer)

Responsibilities:

• Provide technical support to customers, including troubleshooting complex technical issues (Technical Support Engineer)

• Manage and resolve customer inquiries in a timely and effective manner (Technical Support Engineer)

• Identify areas of improvement for customer experience (Technical Support Engineer)

• Ideate and implement strategies for improving and scaling support processes (Technical Support Engineer)

• Build tools and automation to optimize our workflows (Technical Support Engineer)