Benefits:

• Equity for everyone

• Doveclubs

• Equal parental leave

• Modern and pet friendly offices

• Flexible work life balance

Experience Requirements:

• 14+ years of marketing experience including time leading the marketing department or several key functions within it.

• A blend of experience in both early-stage startups and established companies with PLG go-to-market motions.

• A wealth of knowledge and learnings on how to develop and execute sophisticated multi-channel marketing strategies in a SaaS context.

• You’re great at demand generation but appreciate the importance of engaging storytelling with a talent for effectively communicating product value propositions to both end-users and executive buyers.

• You’re well-versed in data and a champion for constant iteration.

Other Requirements:

• An entrepreneurial mindset characterized by flexibility, experimentation, and resourcefulness, including the ability to build things from scratch, iterate quickly, and pivot on the fly.

• A stellar partner and collaborator who works effectively with cross-functional stakeholders at every level of the business (sales, operations, product, etc).

• Demonstrates unwavering drive to achieve tangible commercial outcomes for the business and generate overall value for Dovetail

Responsibilities:

• Oversee our team of talented marketers

• Collaborate across the business

• Set the vision and strategy for our marketing efforts

• Continuously refine our storytelling approach

• Foster a team culture of calculated risk-taking and constant improvement

Benefits:

• Generous compensation, equity, and benefits

• $20K+ yearly budget for self-improvement

• Actively co-create and participate in a positive, intentional team culture

• Frequent team events, dinners, off-sites, and hanging out

Experience Requirements:

• Experience in software engineering

• Experience with Python (for some roles)

• Experience with machine learning (for some roles)

• A track record of high-quality papers at top conferences (for Research Scientist role)

Other Requirements:

• Motivated by solving real problems for real customers (for Founding Product Engineer)

• Energized by understanding and talking to users (for Founding Product Engineer)

• Able to work independently and without explicit directions (for Founding Product Engineer)

• Familiar with Python (for Founding Product Engineer)

• Either experienced or interested in being a founder of a software product company (for Founding Product Engineer)

• Highly accomplished machine learning researcher (for Research Scientist)

• Able to create research questions and coordinate a research program (for Research Scientist)

• Extremely comfortable running ML experiments (for Research Scientist)

• Able to clearly communicate about ideas and intuitions (for Research Scientist)

• Excited to mentor a small team of great research engineers (for Research Scientist)

• Passionate about enabling other engineers and creating good tooling for developers (for Software Engineer, Infrastructure)

• Experienced with DevOps (for Software Engineer, Infrastructure)

• Careful and detail-oriented (for Software Engineer, Infrastructure)

• Very comfortable writing Python (for Software Engineer, Machine Learning)

• Familiar with PyTorch and training deep neural networks (for Software Engineer, Machine Learning)

• Passionate about engineering best practices (for Software Engineer, Machine Learning)

• Self-directed and independent (for Software Engineer, Machine Learning)

• Excellent at getting things done (for Software Engineer, Machine Learning)

• Loves to code (for Tech Lead)

• Knowledgeable and eager to keep up-to-date with best engineering practices (for Tech Lead)

• Passionate about people, mentorship, and teaching (for Tech Lead)

• Very proficient with Python (for Tech Lead)

• Knowledgeable about machine learning (for Tech Lead)

Responsibilities:

• End-to-end ownership over the product (Founding Product Engineer)

• Conducting user interviews and prototyping (Founding Product Engineer)

• Implementing and shipping code (Founding Product Engineer)

• Investigating fundamental questions of intelligence (Research Scientist)

• Collaborating with other researchers (Research Scientist)

Benefits:

• Unusual, socially conscious projects

• Little bureaucracy

• Travel to exotic places around the world

Experience Requirements:

• Residency in Malawi, Cameroon, Nigeria, South Africa.

• Experience with field work and coordination of field teams.

• Fluency in multiple languages, including both English and local languages in the country of residence.

• Emotional intelligence and strong face-to-face communications skills.

• Experience and comfort with making public presentations.

Other Requirements:

• High proficiency in speaking, reading, and composing clear and correct English.

• English typing speed of at least 40 words per minute.

• Strong logical reasoning and attention to detail.

• Experience with composing field reports and summaries.

• Experience working with Excel spreadsheets.

• Ability to listen carefully to our clients and communicate their desires accurately back to the team.

• Ability to juggle substantial quantities of facts and figures.

• Enthusiasm for technology and optimization.

• Highly preferred full-time employment of at least 40 hours per week. Promising students with exceptional skills should contribute at least 24 hrs/week.

• Critical thinking skills, expressiveness, and team-oriented attitude.

• And you have to care about the work that you do!

Responsibilities:

• Coordinate the deployment of ScanForm, working with in-country MOH and IP teams to ensure smooth roll-out, including testing, multiple levels of training, distribution, and monitoring and evaluation.

• Use diplomacy to establish good relationships with all parties and diffuse issues as they arise.

• Compose field reports and summaries.

• Identify problems, diagnose causes, and resolve or delegate tickets to appropriate technical staff.

• Liaise with government to support data use and monitoring and evaluation to drive public policy.

Benefits:

• Competitive salary

• Benefits

• Equity stake

Experience Requirements:

• 3+ years of experience in full-stack software development

• Proven experience working with TypeScript/JavaScript, React, Python web development, API integration

• Familiarity with database fundamentals and infrastructure management using Terraform and AWS

• Knowledge of automated UI testing frameworks

• Past experience or strong interest in generative AI

Other Requirements:

• Highly collaborative mindset with strong communication and problem-solving skills

Responsibilities:

• Develop high-performance, responsive customer features in Python, React, Redux, and Typescript

• Implement LLM-powered features across multiple modalities: text, image, video, audio

• Collaborate closely with the backend team to ensure smooth integration and contribute to architectural decisions

• Understand customers needs and use that knowledge to improve the user experience

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field

Experience Requirements:

• Experience with model training, deploying, and maintenance.

• Strong knowledge of reinforced feedback techniques and reinforcement learning.

• Proficiency in frameworks like PyTorch, TensorFlow, or similar.

• Familiarity with NLP, text generation, and language understanding

Other Requirements:

• Strong problem-solving skills and a passion for addressing complex AI challenges.

• Excellent communication and collaboration abilities.

• Self-motivated and eager to stay at the forefront of AI advancements

Responsibilities:

• Lead the development and customization of large-scale language models that drive the NeuBird platform.

• Implement and experiment with RLHF to enhance model performance and decision-making.

• Collaborate with cross-functional teams to integrate language models into various applications and platforms.

• Work on model fine-tuning, performance optimization, and continuous improvement.

• Stay up-to-date with the latest research and trends in language modeling and RLHF.Contribute to research projects and technical publications.Participate in code reviews and mentorship of junior engineers

Experience Requirements:

• Proven experience in building and optimizing database engines

• Prior experience with PostgreSQL extensions

Other Requirements:

• Solid foundation in data structures, algorithms, and database design

• Problem-solving skills and a passion for enhancing database performance

• Excellent communication and collaboration abilities

• Strong analytical mindset and a drive for innovation

Responsibilities:

• Invent, design, develop, and optimize core database engines.

• Collaborate on projects that involve NLP and machine learning applications to extract valuable insights from structured and unstructured data.

• Tackle complex database challenges, including schema design, query optimization, and distributed data processing.

• Stay current with emerging trends in database management, NLP, and machine learning

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field

Experience Requirements:

• Proven experience in designing and building high-performance and secure APIs

• Strong programming skills in Python

• Knowledge of cloud computing, SaaS, and microservices architecture

• Familiarity with Docker, and Kubernetes

• Experience with performance optimization and scalability of distributed systems

Other Requirements:

• Excellent problem-solving and debugging skills

• Strong teamwork and communication skills

• A passion for staying updated on emerging technologies and industry trends

Responsibilities:

• Collaborate with cross-functional teams to design, develop, and maintain the control plane components of our distributed computing platform.

• Implement and optimize Python-based control plane services to enable the management, orchestration, and scaling of distributed workloads.

• Contribute to the development of SaaS offerings, ensuring they meet high standards of reliability, scalability, and security.

• Identify performance bottlenecks and implement solutions to improve the overall efficiency of our distributed systems.

• Actively participate in code reviews, providing and receiving feedback to maintain code quality and best practices.Stay up-to-date with the latest trends and technologies in distributed computing and SaaS to drive innovation within the company

Benefits:

• Grow and learn 10X faster compared to big-tech.

• Be a part of the founding team that’s shaping the future of AI+Growth.

• Opportunity to work on cutting-edge technology and solve complex problems.

• Get first-hand experience in building 0-1 startups alongside founders.

• Be involved in critical decision-making to sustain and scale businesses

Experience Requirements:

• 4+ years of industry experience in backend systems, cloud architectures, and data pipelines.

• Strong understanding of database design, data processing, and analytics.

• Thrive in a hands-on, chaotic environment

• Someone excited to be part of the 0 to 1 journey

• (Good to have) Experience with A/B experimentation, contextual bandits, and Bayesian optimization methods

Responsibilities:

• Help us build and scale our backend and recommendation systems from the ground up.

• Bet on yourself and build expertise quickly

Benefits:

• Grow and learn 10X faster compared to big-tech.

• Be a part of the founding team that’s shaping the future of AI+Growth.

• Opportunity to work on cutting-edge technology and solve complex problems.

• Get first-hand experience in building 0-1 startups alongside founders.

• Be involved in critical decision-making to sustain and scale businesses

Experience Requirements:

• 4+ years of industry experience in front-end systems.

• Proficiency in JavaScript/TypeScript and modern frameworks such as React.

• Solid understanding of HTML5, CSS3, and responsive design principles.

• Familiarity with server-side rendering (e.g., Next.js) or static site generators.

• Thrive in a hands-on, chaotic environment. Someone excited to be part of the 0 to 1 journey. (Good to have) Figma prototyping and UX experience. (Good to have) Full stack knowledge

Responsibilities:

• Help us build and scale our backend and recommendation systems from the ground up.

• Bet on yourself and build expertise quickly

Benefits:

• Grow and learn 10X faster compared to big-tech.

• Be a part of the founding team that’s shaping the future of AI+Growth.

• Opportunity to work on cutting-edge AI features and categories.

• Get first-hand experience in building 0-1 startups alongside founders.

• Be involved in critical decision-making to sustain and scale businesses

Experience Requirements:

• 2+ years of professional experience as a UX Product Designer or in a similar role, focusing on prototyping, feature exploration, and building custom demos.

• Expertise in UX design tools such as Figma for creating interactive prototypes.

• Strong skills in wireframing, user flow creation, and interactive prototyping.

• Ability to turn fuzzy product requirements into visually appealing user flows.

• Strong understanding of visual design principles, typography, color theory, and iconography with an eye for pixel-perfect execution. Ability to gather requirements in customer calls, and translate those for engineering teams. (Good to have) Experience designing data-heavy digital products

Responsibilities:

• Help us shape the product experience of our lovely users from the ground up.

• Bet on yourself and build expertise quickly

Benefits:

• Equity

• 401(k)

• Health benefits

• Daily onsite lunches and snacks

Experience Requirements:

• 6+ years of experience in building distributed and scalable backend systems

Benefits:

• Equity

• 401(k)

• Health benefits

• Daily onsite lunches and snacks

Benefits:

• Equity

• 401(k)

• Health benefits

• Daily onsite lunches and snacks

• Relocation assistance

Experience Requirements:

• 6+ years of relevant industry experience in leading the design of large-scale & production ML infra systems

Responsibilities:

• Design, build, and maintain scalable machine learning infrastructure to support our model training, inference and applications

• Design and implement scalable machine learning and distributed systems that enable training and scaling of LLMs

• Help oversee and drive the vision of how we should build, test, and deploy models

• Develop tools and frameworks to automate and streamline ML experimentation and management

• Collaborate with other researchers and product engineers to bring magical product experiences through large language models

Benefits:

• Equity

• 401(k)

• Health benefits

• Daily onsite lunches and snacks

• Relocation assistance

Experience Requirements:

• 6+ years of experience in building distributed and scalable backend systems

Responsibilities:

• Collaborate with researchers and engineers to design and implement core infrastructure and systems powered by foundation models for enterprises' workflows

• Explore, iterate, and build useful and elegant products that bring to life model capabilities through usable interfaces

• Be deeply engaged with our customers to understand their requirements and iterate quickly with them to customize our product to their needs

• Guide and impact new kinds of software enabled by LLMs to improve valuable enterprise workflows

• Deploy and scale AI-powered products from the ground up while defining standards and protocols for monitoring, evaluation, security considerations, etc

Education Requirements:

• Bachelor’s Degree (or related field)

Experience Requirements:

• 3+ years of experience in product marketing, preferably in a SaaS or technology-driven environment

• Proven track record of launching products and driving go-to-market strategies that result in significant growth

• Experience in the legal technology space or other highly regulated industries is a plus

• Strong background in market research, competitive analysis, and customer insights

• Experience working in startups or fast-growing companies with the ability to adapt quickly to changing priorities

Other Requirements:

• Exceptional ability to translate complex product features into clear and compelling marketing messages

• Strong project management skills with the ability to prioritize tasks and manage multiple projects simultaneously

• Deep understanding of digital marketing channels, content creation, and sales enablement

• Analytical mindset with experience using data to inform decision-making and optimize marketing strategies

• Ability to work collaboratively with cross-functional teams, including product, sales, and engineering

• Self-driven, adaptable, and able to thrive in a fast-paced, startup environment

• Excellent verbal and written communication skills, with the ability to create compelling narratives for various audiences

Responsibilities:

• Lead the development and execution of go-to-market strategies for Tavrn's AI-driven legal tools

• Craft compelling product messaging and positioning that clearly conveys the value of our solutions to personal injury attorneys and legal professionals

• Create high-impact marketing collateral, including product demos, case studies, whitepapers, presentations, and videos

• Collaborate with the product team to understand upcoming features and product enhancements, translating them into marketing opportunities

• Conduct market research and competitive analysis to refine our positioning and identify growth opportunities

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

Education Requirements:

• M.S. in a STEM field

Experience Requirements:

• 5+ years of research experience

• Deep expertise in machine learning, deep learning, and AI algorithms

• Experience with recommendation systems

• Demonstrated ability to conduct machine learning research studies to analyze data and identify opportunities

• Strong programming skills, proficient in ML languages (Python, SQL, Java, and data science libraries: TensorFlow, PyTorch, OpenCV)

Other Requirements:

• Contributions to research communities like Github

• Experience mentoring or managing junior scientists or engineers

• Strong publication record in AI or related fields

• Excellent written and oral communication skills

• Excellent Interpersonal communication and organizational skills

Responsibilities:

• Lead advanced research projects in artificial intelligence and machine learning

• Stay abreast of the latest AI trends, methodologies, and technologies and assess their applicability to our business needs

• Develop new algorithms and models, enhancing our capabilities in areas such as predictive analytics, Causal Inference and Recommendation systems

• Guide a team of AI researchers and data scientists

• Plan and oversee the execution of research projects, ensuring they meet quality standards and deadlines

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:

• Expertise in Kubernetes, Docker, and cloud platforms (GCP/AWS)

• Experience with autoscaling

• Experience with SOC2 or similar audits and automated security scans

• Proven ability in building and managing CI/CD pipelines

Other Requirements:

• Experience with GCP Functions or AWS Lambda

• Experience with ML / Data Pipelines

Responsibilities:

• Spearhead strategic initiatives for optimal uptime and reliability, particularly in cloud environments

• Architect and optimize advanced monitoring and alerting systems

• Enhance internal build systems and CI/CD processes

• Implement automation tools and processes to accelerate developer velocity

• Manage Kubernetes and Docker environments

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:

• Proven experience as a full-stack developer

• Proficient in Python or similar programming languages

• Strong experience with front-end technologies, particularly React or similar frameworks

• Experience in building and consuming APIs

• Knowledge of database technologies, both SQL and NoSQL

Other Requirements:

• Experience with cloud services (AWS, Azure, etc.)

• Familiarity with containerization and orchestration technologies (Docker, Kubernetes)

• Prior experience in AI or machine learning projects

Responsibilities:

• Develop and maintain high-quality software solutions integrating front-end and back-end systems

• Collaborate with cross-functional teams to define, design, and ship new features

• Optimize applications for maximum speed and scalability

• Provide technical leadership and mentor junior developers

• Stay up-to-date with emerging trends in software development

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

Experience Requirements:

• 3+ years