Benefits:

• Competitive salary and equity options

• Comprehensive health, dental, and vision insurance

• Flexible working hours and remote work options

• Professional career development opportunities

• Dynamic and supportive work environment

Experience Requirements:

• Experience as a data scientist or data analyst

• 2+ years with Data mining

• A clear understanding of machine learning and operations research

• Exceptional technical writing skills

• The ability to communicate complex data in a simple, actionable way

Other Requirements:

• Proficiency in data science languages such as Python or R

• Experience with SQL and database management

• Familiarity with machine learning frameworks and statistical analysis methods

• Experience in developing and deploying machine learning models

Responsibilities:

• Design and implement advanced data models and algorithms

• Perform statistical analysis and predictive modeling to support various business needs

• Continuously improve existing models based on evolving data sets and business requirements

• Conduct comprehensive data analysis to extract actionable insights

• Develop and maintain dashboards and reports for internal teams, especially for sales and operations

Benefits:

• Health Coverage

• Equity

• 401k

• FSA

• Vacation Policy (Flexible Time Off) Life Insurance Team Outings & Trips Workplace Perfection Monthly Team Lunches

Education Requirements:

• Bachelor’s degree

Experience Requirements:

• 5+ years of experience in the Property & Casualty insurance industry

• Strong analytical skills

• Superb oral, written, and presentation skills

• Client engagement experience

Responsibilities:

• Lead demonstrations and technical product overviews

• Advise prospects on regulatory filing process

• Drive prospect delivery of ZestyAI products and solutions for Pilots and POCs

• Possess a deep understanding of ZestyAI solutions and services

• Manage client facing projects from conceptualization to realization within cross-functional client teams Deliver insights and user feedback to ZestyAI’s Product team Lead discovery sessions, uncover client needs, use cases, and map back to the ZestyAI product offering

Benefits:

• Health Coverage (Medical, Dental, Vision, One Medical Membership)

• Equity (Stock Options)

• 401k (Mass Mutual)

• FSA

• Vacation Policy (Flexible Time Off) Life Insurance (Long-Term Disability and Life Insurance) Team Outings & Trips (Quarterly and Annual) Workplace Perfection (Ergonomics Budget) Monthly Team Lunches

Experience Requirements:

• 2+ years in event planning, field marketing, or a similar role, preferably in B2B SaaS or technology sectors.

• Proven success managing end-to-end event logistics and achieving measurable outcomes.

• Demonstrated creative ability to elevate brand presence through strategic event execution

Responsibilities:

• Plan and execute national and regional events (tradeshows, roadshows, customer dinners)

• Coordinate speaking engagements

• Oversee event logistics (booth setup, sponsorships, AV coordination)

• Collaborate with cross-functional teams

• Develop and manage customer engagement programs (roundtables, fireside chats, personalized experiences) Manage ZestyAI’s merchandise program Develop multi-channel promotional campaigns (email, social, landing pages) Define success metrics for all events and analyze performance data Support planning and execution of webinars and virtual events

Benefits:

• Health Coverage (Medical, Dental, Vision, One Medical Membership)

• Equity (Stock Options)

• 401k (Mass Mutual)

• FSA

• Vacation Policy (Flexible Time Off) Life Insurance (Long-Term Disability and Life Insurance) Team Outings & Trips (Quarterly and Annual) Workplace Perfection (Ergonomics Budget) Monthly Team Lunches

Experience Requirements:

• 3+ years in a marketing operations role, preferably in a B2B SaaS or technology company

• Hands-on experience managing Salesforce and marketing automation platforms (ActiveCampaign, Mailchimp, Outreach)

• Experience building and executing account-based marketing strategies

Responsibilities:

• Lead and optimize ZestyAI’s marketing technology stack

• Design and implement an ABM infrastructure

• Establish and enforce governance policies for data quality

• Manage and optimize marketing automation systems

• Oversee the health and accuracy of the marketing database Develop and manage segmentation strategies Partner with marketing, sales, and product teams to build and execute campaigns Create and maintain lead scoring models Implement and manage attribution methodologies Own the creation of dashboards and reporting Provide actionable insights and recommendations based on data analysis Partner with sales, revenue operations, and customer success teams Train cross-functional teams on marketing automation tools

Benefits:

• Competitive salary & stock options

• International offices

• Regular team socials

• Expenses reimbursement

• Unlimited paid time off

Benefits:

• $150K - $300K

• 0.25% - 5.00% equity

Education Requirements:

• Any (new grads ok)

Benefits:

• $150K - $300K

• 0.25% - 5.00% equity

Education Requirements:

• Any (new grads ok)

Benefits:

• $150K - $300K

• 0.25% - 5.00% equity

Education Requirements:

• Any (new grads ok)

Benefits:

• $150K - $300K

• 0.25% - 5.00% equity

Education Requirements:

• Any (new grads ok)

Benefits:

• $150K - $300K

• 0.25% - 5.00% equity

Education Requirements:

• Any (new grads ok)

Benefits:

• $150K - $300K

• 0.25% - 5.00% equity

Education Requirements:

• Any (new grads ok)

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:

• 401(k) plans

• Comprehensive Healthcare and Dental Benefits

Education Requirements:

• Ph.D. or Bachelor's degree in a quantitative field such as Computer Science, Mathematics, or equivalent industry experience

Experience Requirements:

• 4+ years of experience working with AI/ML models, specifically in the fields of document understanding, computer vision, and multi-modal learning

• Proven expertise in training and evaluating models for complex document extraction

• Deep NLP Expertise

• OCR Integration

• Model Pretraining and Fine-tuning

Other Requirements:

• Solid programming skills in Python and proficiency in at least one deep learning framework (e.g., TensorFlow, PyTorch)

• Layout Analysis

• Benchmarking and Evaluation

• Vision-Language Models

Responsibilities:

• Design, train, and evaluate document understanding models for extracting complex data

• Develop and optimize multi-modal visual Q&A models

• Collaborate with the team to integrate AI-driven features into Tensorlake’s platform

• Work closely with users and customers to understand their needs

Benefits:

• 401(k) plans

• Comprehensive Healthcare and Dental Benefits

Education Requirements:

• Ph.D. or Bachelor's degree in Math, Computer Science, or other quantitative fields, OR equivalent experience

Experience Requirements:

• 7+ years of relevant work experience

• Experience in building large-scale distributed systems

Other Requirements:

• Knowledge of systems programming languages such as Rust, Go, C++, or C

• Designing observable systems that operate at internet scale

• Deep knowledge of operating and using cluster schedulers

Responsibilities:

• Design and implement a distributed control plane for operating Indexify on public clouds

• Design and implement workflows for cluster operations and bootstrapping in VPCs

• Focus on long term operability of the system and services

• Work closely with the Founder on the company's technical direction and platform

• Work closely with our users to learn the impact of our product and improve their experience

Benefits:

• Healthcare, Dental and Vision Insurance

• 401(k) plans

• 5 weeks of PTO

Experience Requirements:

• At least 7 years of front-end or full-stack development

• Familiarity with technologies such as Python, React, Typescript, FastAPI, or SQLAlchemy

Other Requirements:

• Motivated people who are excited to build tools to power the next generation of cloud applications

• Passionate about working adjacent to users and the product

Responsibilities:

• Develop delightful UIs or high quality backend business logic that empower software developers and simplify programming

• Work with a team of leading distributed systems and machine learning experts

• Communicate your work to a broader audience through talks, tutorials, and blog posts

• Help us to build and shape a world class company

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

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