AI Jobs

Benefits:

• healthcare, dental, vision insurance

• 401k

• unlimited PTO

• Meaningful early-stage options

Experience Requirements:

• 8+ years in B2B SaaS sales with a track record of consistent quota attainment

• Experienced in MEDDIC, Challenger, or similar value-based methodologies

Other Requirements:

• High emotional intelligence

• Skilled in signal recognition, objection handling, and managing next steps

• Comfortable respectfully challenging buyer assumptions

• Team-first mindset

• Treats pipeline and forecast like an operator

Responsibilities:

• Own full-cycle sales for enterprise accounts

• Run deep, rigorous discovery to understand buyer challenges

• Lead multi-threaded sales motions across economic, technical, and operational stakeholders

• Deliver compelling, ROI-driven narratives

• Build pipeline via outbound, partnerships, and demand follow-up

Benefits:

• Substantial early-stage equity

• $10k annual health coverage

• Weekly meal stipend

Experience Requirements:

• Owned a revenue number with operating experience (not just BDR track)

• Originated and closed 6-figure plus deals

• Ex-founder or first/second AE at startups

• Executive discovery and translating technical capability to business value

• Political navigation across multiple stakeholders

Other Requirements:

• In-person in San Francisco

• Monthly or more frequent travel for demos and executive meetings

• Evidence of obsession with something

• Ambition and ability to build pipeline from nothing

Responsibilities:

• Outbound-heavy pipeline generation

• Discovery with executive and technical stakeholders (COO, CIO, CEO)

• Designing and converting paid, tightly scoped pilots

• Post-pilot expansion across business units

• Shaping sales motion including positioning, messaging, and pricing

Benefits:

• Substantial equity ownership

• $10,000/year employer-funded healthcare benefit via Thatch

• $220/week meal stipend

• E3 sponsorship for Australians

• Choice of Mac, Linux, or Windows

Education Requirements:

• Computer Science Background (or ability to beat a founder in a 1:1 coding duel on a whiteboard)

Experience Requirements:

• Strong TypeScript skills

• NestJS, React, Vite, Tanstack

• SQL proficiency

• Cloud Experience (AWS + GCP preferred), Docker, Actions

• PostgresSQL

Other Requirements:

• LLM API experience (major providers)

• Willingness to interact with customers and watch customer calls

• Interest in personal projects

• Ambition and comfort with rapid iteration

Responsibilities:

• Designing novel data structures for representing work

• Building pipelines that process billions of events per day

• Writing whitepapers on approaches that don't exist yet

• Inventing new data primitives and paradigms

• Building systems mapping work patterns across entire organizations

Benefits:

• Substantial equity ownership

• $10,000/year employer-funded healthcare benefit via Thatch

• $220/week meal stipend

• E3 sponsorship for Australians

• Choice of Mac, Linux, or Windows

Education Requirements:

• Computer Science Background (or ability to beat a founder in a 1:1 whiteboard duel on DS&A)

Experience Requirements:

• Building production data pipelines (Dagster, Airflow, Prefect, or similar)

• Data modelling expertise: designing schemas for analytical and ML workloads

• Infrastructure experience: AWS (S3, RDS, Glue, Lambda), containerisation, IaC

• Production database experience: PostgreSQL, graph databases (Neo4j, Neptune, or similar)

• Monitoring and observability for data systems: lineage, quality metrics, alerting

Other Requirements:

• Strong Python fundamentals and software engineering discipline

• Comfort with ambiguity and novel problem domains

• Commitment to high-velocity work and rapid iteration

• Personal projects that demonstrate depth

Responsibilities:

• Designing ingestion pipelines that process millions of screenshots and events daily

• Building data validation and quality systems to catch drift

• Creating feature stores and serving infrastructure

• Optimising storage and query patterns for time-series behavioural data

• Orchestrating complex DAGs coordinating OCR and LLM enrichment

Benefits:

• Substantial equity ownership

• $10,000/year employer-funded healthcare benefit via Thatch

• $220/week meal stipend

• E3 sponsorship for Australians

• Choice of Mac, Linux, or Windows

Education Requirements:

• Computer Science Background (or ability to beat a founder in a 1:1 whiteboard duel on DS&A)

Experience Requirements:

• Strong Python fundamentals and software engineering discipline

• LLM prompt engineering and optimization (token efficiency, few-shot, CoT)

• Evaluating model performance: accuracy measurement, error analysis, regression detection

• Ability to read, synthesize, and apply ML research papers

• Statistical literacy

Other Requirements:

• Comfort with ambiguity and novel problem domains

• Willingness to help with product thinking

• Commitment to high velocity

• Personal projects that demonstrate depth

Responsibilities:

• Designing evaluation pipelines for accuracy, precision, and recall

• Building ground truth datasets from ambiguous real-world enterprise data

• Running systematic prompt engineering experiments

• Developing A/B testing infrastructure for model comparison

• Researching novel approaches to process understanding and intent extraction

Benefits:

• Offers Equity

Experience Requirements:

• Strong expertise with modern frontend tooling (TypeScript, CI/CD pipelines)

• Proficient in Figma and understand the fundamentals of product design

• Experience building or contributing to a design system at scale

• Background in motion design or creative coding (Canvas, WebGL, shaders)

• A portfolio, blog, or open-source work that demonstrates your craft

Other Requirements:

• Frontend engineer with a designer's eye, or a designer who writes production-quality code

• Self-directed

• Excited about AI-assisted workflows

• Fluency in both design and engineering worlds

Responsibilities:

• Own the quality bar for UI

• Sweat the details: transitions, easing curves, skeleton states, etc.

• Work with designers from concept to production skipping traditional handoff

• Design and build greenfield surfaces end to end

• Translate Figma design system into component library

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:

• 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:

• 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:

• 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:

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

• 0.3% – 0.5% equity

• $127.5K – $212.5K Commission

Benefits:

• 0.1% – 1.5% equity