AI Jobs

Benefits:

• Equity

• Comprehensive medical, dental, and vision benefits

• Opportunities for career growth and development

Experience Requirements:

• 2–4 years of experience in software engineering, ideally working with SaaS or AI-driven technologies

Other Requirements:

• Strong proficiency in Python, JavaScript, or other relevant programming languages

• Familiarity with AI frameworks, machine learning concepts, and cloud platforms (AWS, Azure, or Google Cloud)

• Proven ability to navigate ambiguity and deliver practical solutions

• Excellent communication and collaboration skills

Responsibilities:

• Develop and enhance Tavrn's AI-driven software solutions

• Collaborate with sales and engineering to translate customer needs into technical solutions

• Conduct product testing, debugging, and optimization

• Support technical implementation and troubleshooting during customer onboarding

• Maintain comprehensive documentation of technical designs, processes, and systems

Benefits:

• Comprehensive medical, dental, and vision benefits

• Opportunity to grow and advance within a rapidly scaling startup

• Supportive and dynamic work environment

Experience Requirements:

• 0–2 years of experience in tech sales (or similar sales-related role)

Other Requirements:

• Exceptional communication and interpersonal skills

• Ability to navigate ambiguity and complexity with a positive attitude

• Willingness and ability to travel regularly to industry events (10–25%)

• Comfortable with cold calling and persistent outreach

Responsibilities:

• Conduct cold calls and emails to engage prospective clients

• Schedule and confirm a minimum of 5 qualified meetings per week

• Represent Tavrn professionally at industry conferences

• Maintain detailed records of interactions using CRM platform

• Collaborate with sales team to ensure seamless lead transitions

Benefits:

• Competitive salary

• Comprehensive health, dental, and vision benefits

• Opportunity for rapid career growth and skill development

• In-person team culture

Education Requirements:

• Background in STEM or related fields

Experience Requirements:

• Early career professional with 1–2 years of experience

Other Requirements:

• Motivated to be proud of your work and willing to dive into any challenge

• Passionate about finding solutions to complex problems

• Take ownership and care deeply about delivering quality results

Responsibilities:

• Assist in day-to-day business operations including office management and event coordination

• Support implementation of operational processes and identify efficiency areas

• Collaborate with other departments for seamless project execution

• Maintain office resources and coordinate with vendors

• Provide reports and updates on operational KPIs to leadership

Benefits:

• Challenging projects

• Friendly and inclusive workplace culture

• Competitive compensation

• Great benefits package

• Catered lunch

Education Requirements:

• Degree in Computer Science, Electrical Engineering, or a related technical field

Experience Requirements:

• At least 7 years of industry experience in software engineering

• Fluency in C, C++, Golang, Java, or Python

• Strong expertise in data structures, algorithms, and software design

• Experience designing and scaling large distributed systems

• Familiarity with service-oriented architectures and cloud technologies

Other Requirements:

• Excellent debugging and problem-solving skills

• Ability to lead in a fast-paced startup environment

• Excellent communication skills

Responsibilities:

• Lead the design, architecture, and implementation of core platform components

• Build and scale large distributed systems in production

• Drive technical decisions across backend and cloud systems

• Mentor engineers through design reviews and code reviews

• Improve system performance, reliability, and observability

Other Requirements:

• Authorized to work in the United States

Experience Requirements:

• Strong background in machine learning, reinforcement learning, or optimization

• Experience building and deploying ML systems in production

• Proficiency in Python and modern ML frameworks (PyTorch, JAX, etc.)

Other Requirements:

• Excellent communication skills and ability to work directly with customers

• Self-motivated with ability to thrive in an early-stage startup environment

• Experience with LLM prompt optimization or agent systems

• Publications in top ML venues (NeurIPS, ICML, ICLR, etc.)

• Experience with distributed systems and cloud infrastructure

Responsibilities:

• Design and implement optimization algorithms (RL, genetic algorithms, search-based methods) for agent systems

• Work directly with enterprise customers to understand their agent architectures and pain points

• Build evaluation frameworks and benchmarks to measure agent performance improvements

• Collaborate with the product team to translate research insights into scalable product features

• Publish technical blog posts and contribute to the broader AI community

Experience Requirements:

• Experience executing sales strategies in early-stage environments

• Experience selling technical products to enterprise buyers

Responsibilities:

• Execute sales strategy in an early-stage environment where the product or messaging is evolving

• Hit sales numbers and targets

• Sell technical products to enterprise buyers

• Navigate technical sales conversations

Benefits:

• equity

• benefits

• annual bonus

• commission plan

Experience Requirements:

• 7–9+ years in enterprise SaaS sales

• Experience selling identity verification, fraud prevention, or related risk management solutions

• Demonstrated success in big tech, AI, & high-growth startups verticals

• Ability to drive value-based conversations for C-level stakeholders

• Background selling fraud, identity, big data, or security solutions

Other Requirements:

• Must be located in the San Francisco Bay Area

• Comfortable navigating ambiguity and building scalable processes

Responsibilities:

• Lead growth across both greenfield opportunities and existing accounts

• Manage full-cycle sales from prospecting to close

• Build and maintain a robust pipeline through outbound efforts

• Align complex technical solutions with customer needs in fraud and digital identity

• Work closely with product, engineering, and marketing teams

Benefits:

• Medical, dental, and vision insurance

• 401(k) retirement plan with employer match

• Paid parental leave

• Flexible PTO

• Mental health and wellness support

Other Requirements:

• Able to work from US office three days per week

Benefits:

• Medical, dental, and vision insurance

• 401(k) retirement plan with employer match

• Paid parental leave

• Flexible PTO

• Mental health and wellness support

Other Requirements:

• Able to work from US office three days per week

Benefits:

• Medical, dental, and vision insurance

• 401(k) retirement plan with employer match

• Paid parental leave

• Flexible PTO

• Mental health and wellness support

Other Requirements:

• Able to work from US office three days per week

Benefits:

• Offers Equity

Benefits:

• Base salary + commission (15% - 22.5%)

• 0.3% – 0.5% equity

• $127.5K – $212.5K Commission

Benefits:

• 0.5% – 1.5% equity

Benefits:

• 0.1% – 1% equity

Benefits:

• 0.1% – 1.5% equity

Benefits:

• Equity grants

• Health insurance

• 401k matching

• Provided meals

• Team offsites

Experience Requirements:

• 5+ years of experience in DevOps, SRE, or Cloud Engineering

• 2+ years focused on MLOps or ML infrastructure

Other Requirements:

• Subject matter expertise with cloud platforms (AWS, GCP, or Azure)

• Proficiency with ML lifecycle tools such as MLflow, Kubeflow, or SageMaker

• Experience with container orchestration (EKS/GKE/AKS) and model serving frameworks

• Strong scripting and programming skills in Python, Bash, and YAML

• Deep understanding of agentic frameworks

Responsibilities:

• Designing and implementing scalable and secure MLOps pipelines

• Automating the deployment, monitoring, and governance of machine learning models

• Collaborating with Data Scientists and DevOps teams to streamline workflows

• Managing and optimizing ML infrastructure including GPU/TPU provisioning

• Ensuring reproducibility, traceability, and compliance of ML workflows

Benefits:

• comprehensive healthcare coverage

• flexible PTO

• equity RSUs

• annual performance bonus opportunities

• retirement account support

Education Requirements:

• Bachelor's or master's degree in computer science, Engineering, or related technical or business field

Experience Requirements:

• 12+ years of professional software engineering/development experience

• expertise in Java/J2EE, Spring, design patterns, microservices

• building production-grade agentic AI systems

• RAG pipelines, agent workflows, model orchestration

• experience with SQL and NoSQL databases

Other Requirements:

• Strong system design and hands-on execution skills

• Ability to use a wide variety of open-source technologies and cloud services

• Agile development (Scrum, XP, or Pair Programming) experience

Responsibilities:

• Lead the design and development of Java/Python microservices

• Own technical design for critical systems

• Partner with Product, UX, and Customer Success

• Promote early defect detection through strong design and testing

• Mentor the team on new technical skills

Benefits:

• comprehensive healthcare coverage

• flexible PTO

• equity RSUs

• annual performance bonus opportunities

• retirement account support

Education Requirements:

• BS in a relevant field; advanced degree preferred

Experience Requirements:

• 4–7+ years in B2B SaaS pricing or related functions

• Fluent in SaaS monetization

• modeling skills (Excel, Power BI, SQL)

• Excellent PowerPoint skills

• proficient with Salesforce and enablement platform

Other Requirements:

• Insight-Driven Storyteller

• Naturally Cross-Functional

• Experience with pricing structures for platforms

Responsibilities:

• Identify revenue growth opportunities through pricing performance analysis

• Transform research into strategic proposals for packaging new offerings

• Partner with product and go-to-market leaders to implement price changes

• Recommend monetization strategies for newly released features

• Leverage AI tools to synthesize data and streamline strategy development