Benefits:

• World class investors

• Extremely fast growth

• Be part of building a company

• In person & interdisciplinary

• High risk Compensation

Experience Requirements:

• 5+ years of performing ML related research work

Other Requirements:

• Low-ego

• First principles reasoner

• Leader

• Company-builder

• Eagle-eyed

• Flexible

• Collaborative

• Passionate

• Office lover

• All-in

Responsibilities:

• owning our applied research efforts on agent abstractions, model orchestration, post-training techniques

• work closely with the agent design and world modeling teams to iterate and improve on our multi-agent architectures

Benefits:

• World class investors

• Extremely fast growth

• Be part of building a company

• In person & interdisciplinary

• High risk Compensation

Other Requirements:

• Strong logical reasoner

• Facility with language

• Interdisciplinary

• Company-builder

• Passionate

• Curious

• Office lover

• All-in

Responsibilities:

• architecting the system that underpins the prompts we use to program LMs

• work closely with our research team to determine ideal prompt structures

• iterate on tools to automatically improve prompts

• build internal evaluation systems to constantly monitor performance

Benefits:

• World class investors

• Extremely fast growth

• Be part of building a company

• In person & interdisciplinary

• High risk Compensation

Experience Requirements:

• 4+ years of full stack engineering experience

Other Requirements:

• Ownership

• First principles reasoner

• Leader

• Interdisciplinary

• Company-builder

• Eagle-eyed

• Flexible

• Collaborative

• Passionate

• Curious

• Office lover

• All-in

Responsibilities:

• ship code

• own a product

• think about the customer

• prioritize various features

• execute against company objectives

Benefits:

• World class investors

• Extremely fast growth

• Be part of building a company

• In person & interdisciplinary

• High risk Compensation

Other Requirements:

• First principles reasoner

• Interdisciplinary

• Company-builder

• Office lover

• All-in

Benefits:

• World class investors

• Extremely fast growth

• Be part of building a company

• In person & interdisciplinary

• High risk Compensation

Experience Requirements:

• 5-10 years of designing and building data and/or core infrastructure

• 5+ years of performing ML related research work

Other Requirements:

• First principles reasoner

• Leader

• Interdisciplinary

• Company-builder

• Eagle-eyed

• Collaborative

• Passionate

• Curious

• Office lover

• All-in

Responsibilities:

• designing, building, and maintaining the infrastructure that powers our AI research and products

• architecting scalable server infrastructure

• designing efficient data pipelines

• configuring for optimal scaling

• developing alerts and monitoring systems

Education Requirements:

• Bachelor’s Degree in Computer Science or a related technical field

Experience Requirements:

• 7+ years of experience as a Principal Engineer or a similar role

• 3+ years managing and developing local and/or international teams

• Adtech industry experience

Other Requirements:

• Experience with Node.js (Express.js), MongoDB, HTML, CSS, JavaScript, GoLang, AWS

• Ad Tech exposure with strong working knowledge of RTB along with Ad Servers, DSPs, SSPs

• Proven ability to articulate and execute product vision, strategy, planning, and development

• A systems thinker with a quick mind and humble confidence

• Passionate about design and creative problem-solving with interest in the AdTech industry

• Entrepreneurial drive with a demonstrated ability to achieve goals in a fast-paced environment while building scalable solutions

• Excellent written and oral communication skills with both technical and non-technical audiences

• A strong collaborator with the ability to partner closely with internal teams

Responsibilities:

• Work across teams and domains to solve the most complex technical challenges

• Influence long-term technical decisions

• Create scalable solutions that support the company’s growth

• Drive innovation in platform architecture, system design, and engineering practices for multiple categories of products on our proprietary platforms

• Develop infrastructure that powers advanced adtech solutions, driving innovation in areas such as real-time bidding (RTB), audience segmentation, and dynamic creative optimization of campaigns by leveraging advanced algorithmic systems in order to enhance results and drive business growth

Benefits:

• Competitive salary and benefits package, including equity options and healthcare.

• Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.

• Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.

• Collaborative and supportive work environment, with a strong focus on personal and professional growth.

• Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.

Experience Requirements:

• Strong Coding Skills

• User Empathy and Customer Focus

• An Eye for Design

• Software Architecture

Responsibilities:

• Building Enterprise Grade Frontend Applications

• Solution Design

• End-to-End Software Ownership

Benefits:

• An opportunity to advance the cutting-edge of LLM research and directly revolutionize work in the enterprise space.

• Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.

• Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries.

• Competitive salary and benefits package, including equity options and healthcare.

• Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.

Experience Requirements:

• Proven Track Record of Research Results

• Uses AI Every Day

• Strong Programming and Data Analysis Skills

• Biases Towards Showing vs Telling

Responsibilities:

• Define What AI Native Means for a Given Problem

• Methodology Design and Validation

• Consume and Publish Research

Benefits:

• Opportunity to build a mission-oriented company together to create practical adoption of the biggest revolution in human productivity.

• Opportunity to own $Xm+ accounts with some of the most iconic institutions, and drive transformative outcomes.

• Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.

• Competitive salary and benefits package, including equity options and healthcare.

• Collaborative and supportive work environment, with a strong focus on personal and professional growth.

Education Requirements:

• Bachelor's degree in Computer Science, Mathematics, or related fields

Experience Requirements:

• At least 3 years of experience as a software engineer or machine learning engineer.

• Practical experience in software development (ideally full stack) and production deployments for data-intensive or ML-based products.

• An obsession with thorough AI/ML evaluation to create reliable applications.

• Strong knowledge of machine learning fundamentals and deep learning frameworks (e.g., PyTorch, Transformers, Scikit-learn, NumPy, Pandas).

• Work experience with software development best practices, including version control (e.g., Git), automated testing, and continuous integration/continuous deployment (CI/CD).

Other Requirements:

• Experience architecting and implementing cloud data infrastructure and pipelines (Azure, AWS, and GCP)

• Strong communication and collaboration skills

Responsibilities:

• Hit the ground running and take ownership of strategic accounts with iconic customers.

• Thoughtfully design and implement systems that leverage LLMs in a responsible and predictable manner.

• Collaborate with customers to understand their challenges and pain-points, and create innovative yet practical AI solutions.

• Contribute to the development of Distyl's internal platform (Distillery) for LLM application development, including designing and implementing new features and functionality.

• Monitor and maintain production systems to ensure they are meeting system requirements and delivering the expected results

Benefits:

• Competitive salary and benefits package, including equity options and healthcare.

• Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.

• Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.

• Collaborative and supportive work environment, with a strong focus on personal and professional growth.

• Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.

Experience Requirements:

• A proven record in managing complex projects or strategic leadership roles, with demonstrable experience in client-facing positions within AI or technology integration.

• Exceptional Communication Skills

• User Empathy and Customer Focus

• Thrive in Ambiguity

• AI Passion

Other Requirements:

• Coding Experience: Proficiency in programming, scripting, or statistical packages (e.g., Python, R, Matlab, SQL)

• Travel: Ability to travel 25-75%, varying by team

Responsibilities:

• Earn Customer Trust

• End-to-end Workflow & Outcome Ownership

• Leadership

• Data Analysis

• User Adoption Product Feedback

Benefits:

• Dual hubs (Toronto & New York)

• Founder access

• Growth investment

• Unlimited time off

• Comprehensive healthcare

Experience Requirements:

• 3+ years of experience leading and building high-performing teams

Other Requirements:

• Proven track record of leading data and AI strategy

• Adept at collaborating and driving data/AI strategy

• Proven data and AI expertise, experience in building AI-driven products and deploying models

• Deep exposure to NLP models, LLMs, and recommender systems

• Experience with labor market data is a plus

• Manage a full-stack data portfolio

• Lead with curiosity

• Take radical responsibility for outcomes

Responsibilities:

• Lead all aspects of data strategy and execution

• Build and mentor a high-performing data team

• Develop and refine internal data processes

• Work closely with business, product, and engineering teams

• Lead the development and optimization of NLP models, LLMs, and scalable recommender systems

Experience Requirements:

• Entrepreneurial mindset

• Be able to point to impressive software projects you have written on your own

• Be a quick learner and curious

• Ability to work fast and produce high-quality work

• AI/LLM experience is a plus but not at all required. You should have built impressive end-to-end projects of your own in the past. Curiosity, drive, and interest in startups

Responsibilities:

• Taking responsibility and ownership of features and eventually entire new products

• Writing the backend and/or frontend code for our AI property management system

• Anything else required - possibly improving our AI system, working on the frontend/backend of our product, etc

Experience Requirements:

• Entrepreneurial mindset

• Be able to point to impressive software projects you have written on your own

• Be a quick learner and curious

• Ability to work fast and produce high-quality work

• AI/LLM experience is a plus but not at all required. You should have built impressive end-to-end projects of your own in the past. Curiosity, drive, and interest in startups

Responsibilities:

• Taking responsibility and ownership of features and eventually entire new products

• Writing the backend and/or frontend code for our AI property management system

• Anything else required - possibly improving our AI system, working on the frontend/backend of our product, etc

Benefits:

• Competitive and equitable compensation

• Performance-based incentives

• Various benefits designed to support your well-being and professional growth

Education Requirements:

• Degree in engineering, science, or computer science (Bonus Points)

Experience Requirements:

• Top-tier management consulting or similar professional client service experience

• Experience in business development or strategic partnerships

• Domain expertise in AI, advanced manufacturing and/or semiconductors

Other Requirements:

• Exceptional written, verbal, and interpersonal communication skills

• Entrepreneurial mindset with a strong sense of ownership, high level of motivation to succeed, and adaptability to fast-paced environments

• Willingness to travel domestically and internationally as required

Responsibilities:

• Developing Normal's GTM strategy in collaboration with cross-functional teams, and driving its execution

• Working closely with customers to understand their needs and objectives

• Gaining a deep understanding of the enterprise AI landscape and Normal’s relevant application landscape

• Building and maintaining a growing enterprise partnership ecosystem

• Driving cross-functional coordination with internal stakeholders

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

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

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

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:

• 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

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