Benefits:

• Competitive Salary

• Comprehensive Health Coverage

• Generous Paid Time Off (PTO)

• Parental Leave

• Diversity and Inclusion

Experience Requirements:

• 8–10 years of experience building and scaling partnerships in AdTech, Retail Tech, or Consulting industries

Other Requirements:

• Proven expertise in working with DSPs, third-party ad servers, cloud providers, systems integrators, and other technology partners.

• A strong track record of developing and executing joint go-to-market strategies with partners.

• Comprehensive understanding of SaaS-based business models and demonstrated success in driving B2B growth through partnerships.

• Ability to align and lead cross-functional teams across product, marketing, and sales to achieve ambitious goals.

• Exceptional interpersonal skills with experience engaging and influencing C-suite stakeholders.

• Analytical and data-driven mindset to inform strategy and optimize performance.

• Excellent communication skills and the ability to manage complex partnership negotiations.

Responsibilities:

• Develop and Expand Channel Partnerships

• Drive Product Awareness and Revenue Growth through Partners

• Foster Strategic Collaboration and Cross-Functional Alignment

• Leverage Market and Industry Insights

• Represent and Advocate for the Company

Benefits:

• Innovative company culture

• Flexible work schedules

• Family paid leave

• Paid healthcare for employees

• 401k

Experience Requirements:

• 5+ years’ experience as a cyber underwriter/broker with a proven track record of growth

• Established network of broker and underwriting relationships

• Prior consulting or customer facing experience

Other Requirements:

• Passion for collaboration and the future of cyber insurance

• Deep knowledge of the cyber insurance markets across assigned territory

• Technical fluency in G-Suite

Responsibilities:

• Partner with the security teams to develop and execute client engagement strategies

• Demonstrate sound risk and pricing decision making, incorporating technology/security resources and traditional underwriting principles

• Maintain an updated understanding of the cyber insurance market landscape within the designated territory

• Implement business plans, ensuring growth that's both successful and sustainable

• Collaborate with the team to formulate and execute strategies, igniting growth for both primary and excess cyber business

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

Experience Requirements:

• 3-5 years of experience in customer success with a proven track record of driving customer satisfaction & retention

• Experience with cyber security preferred

Other Requirements:

• Excellent communication and interpersonal skills, with the ability to build rapport, influence others, and negotiate effectively

• Strong strategic thinking and problem-solving abilities, with a focus on driving business outcomes and delivering value to customers

• Proficiency in CRM software and other relevant tools for managing customer interactions

• Ability to thrive in a fast-paced, dynamic environment, managing multiple priorities and stakeholders simultaneously

• Passion for delivering exceptional customer experience and a commitment to continuous improvement and learning

Responsibilities:

• Proactively engage with customers to understand their goals, challenges, and feedback

• Develop and execute Customer Success strategies to maximize retention, expansion, and satisfaction among our client base

• Serve as the primary point of contact for assigned accounts, building trusted advisor relationships with key stakeholders

• Conduct regular business reviews with clients to review performance, identify opportunities , and align on goals and priorities

• Collaborate cross-functionally with Sales, Product, Underwriting, & Marketing to ensure a seamless customer experience and drive customer outcomes

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:

• Demonstrated success in delivering and maintaining AI products at scale

• Deep knowledge of best engineering practices

• Capability of delivering industry-leading AI solutions

• Strong communication and collaboration skills

Responsibilities:

• Lead the engineering team to design, develop, and deploy high-performance, secure, and reliable ML services

• Partner closely with the ML team to streamline and optimize the transition from experimentation to production

• Deeply understand customer needs and industry trends

• Work directly with customers to deliver tailored solutions

• Establish yourself as a thought leader in the AI safety and compliance domain

Experience Requirements:

• 4+ years in DevOps or related field

• Proficiency in IaC and CI/CD automation tools

• Strong expertise in managing Kubernetes clusters

• Advanced programming skills in Python and Bash

• Excellent analytical and troubleshooting skills

Responsibilities:

• Build and improve our CI/CD pipelines

• Manage our CD processes using ArgoCD

• Manage our entire AWS infrastructure using Terraform

• Implement and manage monitoring and alerting

• Implement and maintain security best practices

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

Experience Requirements:

• 3+ years of experience developing and managing scalable services in Kubernetes

• Proficiency in Kubernetes, cloud services, and modern DevOps practices

• Proven track record of collaborating with customers

• Strong programming skills in Python or other relevant languages

Responsibilities:

• Design, develop, and maintain our Kubernetes-based infrastructure

• Take full ownership of the infrastructure

• Be innovative, apply industry best practices

• Develop and maintain automated testing frameworks and CI/CD pipelines

Education Requirements:

• Bachelor’s degree in Business Administration, Marketing, or a related field

Experience Requirements:

• At least 8-10 years of experience in customer success

• Strong understanding of customer success metrics

• Excellent interpersonal and communication skills

• Demonstrated ability to manage and inspire a team

• Proficient in CRM and Customer Success software platforms

Responsibilities:

• Build and lead Customer Success Team

• Customer Relationship Management

• Customer Onboarding and Adoption

• Customer Advocacy

• Retention and Growth Strategies

Experience Requirements:

• Experience with managing teams, projects, or products

• Experience with machine learning topics is a plus

• Experience leading ML or engineering teams in financial services is a plus

Responsibilities:

• Develop strategies to most effectively address enterprise customer needs

• Prepare presentations and materials

• Identify and quantify pain points and needs

• Execute plans for successfully meeting customer deliverables

Education Requirements:

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

Experience Requirements:

• 8+ years of experience in a technical pre-sales or sales engineering role

• Deep understanding and hands-on experience with AI, machine learning, and cloud computing technologies

• Proficiency in container technologies such as Docker and Kubernetes

• Proven track record of leading successful technical sales engagements

• Strong communication and presentation skills

Responsibilities:

• Build and Lead Sales Engineering Team

• Technical Sales Leadership

• Customer Engagement

• Product Alignment

• Product Evangelism

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

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:

• MS/PhD degree in Computer Science, Statistics, Applied Mathematics, Computational Biology, Computational Chemistry or other related subject

• Will also consider BS degrees in these areas for candidates highly qualified across other requirements or with significant work experience

Experience Requirements:

• 2+ years of experience on machine learning teams, ideally at a start-up

• 4+ years of ML research experience in industry or academia, with strong familiarity with PyTorch

Other Requirements:

• Track record of contributing to novel methods for state-of-the-art Deep Learning (in industry or through publications) including large-scale Transformers, Graph Neural Nets, ConvNets, etc.

• Experience with Python is required

• Relevant experience working in a Linux/UNIX environment with basic data engineering and scripting abilities

• Ability to understand business problems and how to build models that can quickly drive value, while prioritizing your research efforts accordingly

• Clearly communicate modeling setup and results at various levels of abstraction

Responsibilities:

• Scientifically direct the design and training of large-scale, state-of-the-art Deep Learning systems

• Develop novel architecture and training paradigms to lead the industry in unsolved scientific problems

• Collaborate with content experts from other domains (e.g., chemistry, physics, biology) to enable innovative feature-engineering and novel cross-disciplinary approaches

• Actively contribute to top-tier ML conferences and journals and attend core ML conferences to stay connected with the community and current trends

Education Requirements:

• PhD in Chemical Biology, Proteomics, or related field

Experience Requirements:

• 5+ years in industry experience focused on small molecule drug discovery at pharmaceutical or biotech companies, with a track record in leading small molecule proteomic initiatives

Other Requirements:

• Proven experience in proteomics research and small molecule drug discovery

• Track record in designing and executing complex scientific experiments

• Computational affinity, worked with computational biologists

• Experience in managing a team of PhD researchers

• Familiarity with AI applications in proteomics and drug discovery

• Strong budget management skills

• Excellent communication skills, adept at summarizing scientific progress for various audiences

Responsibilities:

• Drive the scientific strategy, aligning our proteomics research with AI-driven drug discovery initiatives

• Lead and nurture a team of PhD researchers, promoting a culture of innovation and discovery

• Oversee lab operations and facilities, maintaining an environment that fosters excellence and safety

• Plan and steer ambitious proteomics experiments, making key decisions to shape our scientific trajectory

• Prudently invest in state-of-the-art lab hardware to keep us on the cutting edge of proteomics research Bridge the gap between lab teams and computational workstreams, fostering a synergistic environment that maximizes data utility Manage and optimize the lab budget, ensuring resources are strategically allocated Provide regular updates on scientific progress, keeping stakeholders informed and inspired