Education Requirements:

• Bachelor’s degree in business, marketing, or a related field

• MBA is a plus

Experience Requirements:

• 10+ years of enterprise sales experience

• Strong record of closing large, complex deals (6–7+ figure ACVs)

• Experience selling SaaS, data, AI, or analytics platforms

Other Requirements:

• Strong command of structured sales methodologies (MEDDICC, Challenger, Spin, etc.)

• Executive level communication, presentation, and influence skills

• Expertise in building business cases and articulating ROI at scale

Responsibilities:

• Identify, qualify, and pursue large-scale enterprise opportunities

• Use a consultative, value-based approach to diagnose enterprise challenges

• Build deep relationships with C-suite and VP-level leaders

• Develop and manage a strong, high-value pipeline

• Lead all phases of multi-stakeholder, multi-month enterprise sales cycles

Benefits:

• Competitive salary and generous equity

• Remote work environment with a flexible schedule

• Exposure to global industry experts

• End-to-end responsibility and ownership

• International team culture

Experience Requirements:

• 1-2 years experience in affiliate/influencer marketing

• Success in building or scaling affiliate programs

• Strong analytical mindset

• Excellent communication skills

• Active in crypto markets and trading

Other Requirements:

• Fluent in Spanish is preferred

• Passion for crypto, DeFi, and onchain ecosystems

• Ability to operate independently

• Willingness to travel to NYC periodically

Responsibilities:

• Manage and grow a portfolio of affiliates

• Identify and onboard new affiliate partners

• Launch, track, and optimize affiliate campaigns

• Maintain strong relationships with top performers

• Monitor KPIs and provide actionable insights

Benefits:

• Competitive salary and equity package

• Remote work environment with a flexible schedule

• Professional growth opportunities

• Exposure to global industry experts

• Collaborative and supportive company culture

Education Requirements:

• Bachelor’s degree in Business, Finance, Engineering

• Advanced degree (MBA) is a plus

Experience Requirements:

• 8+ years of B2B/institutional sales or BD

• Track record closing six- to seven-figure deals

• Understanding of blockchain, crypto, and staking

• Experience negotiating complex contracts

• Network within institutional asset management

Other Requirements:

• High emotional intelligence

• Entrepreneurial mindset

• Willingness to travel globally

• Ability to bridge technical and business value

Responsibilities:

• Define institutional go-to-market strategy

• Map and build a pipeline of institutional targets

• Lead negotiations with major prospects

• Oversee onboarding and integration

• Drive retention and expansion within accounts

Benefits:

• Career growth and learning support

• Meaningful opportunities to shape priorities

• Influence key strategic decisions

• Reasonable accommodation

• High-growth work environment

Education Requirements:

• Advanced degree preferred (MBA or Master’s in computer science, applied statistics, mathematics, or related field)

Experience Requirements:

• 5+ years in a technical, client-facing role (e.g., management consulting, professional services, or customer success)

• Strong background in project delivery and collaborative problem-solving

• Experience with AI/ML initiatives or involving standard AI technologies

• Proven ability to understand client objectives and design solutions

• Track record of overseeing a portfolio of engagements

Other Requirements:

• Willingness to travel up to 25%

• Excellent communication and presentation skills

• Ability to translate complex technical concepts for broad audiences

Responsibilities:

• Collaborate with data science and engineering teams to shape AI/ML use cases

• Lead the end-to-end delivery of enterprise AI projects

• Manage comprehensive project plans and related artifacts

• Identify expansion opportunities through adjacent use cases and new stakeholders

• Serve as the primary interface between client C-suite and Snorkel’s technical teams

Benefits:

• Generous compensation in cash and equity

• Flexible paid time off

• MacBook Pro delivered to your door

• Health insurance coverage

• 4% matching in 401k / RRSP

Experience Requirements:

• 10+ years of hands-on experience as implementation manager or integrations engineer

• 5+ years of B2B SaaS experience in fraud, risk, or compliance

Other Requirements:

• Advanced experience with SQL querying and JSON payload analysis

• Experience with API specs like OpenAPI

• Ability to write scripts (Python, SQL, Ruby, Bash)

Responsibilities:

• Lead implementation and integration for fraud products

• Provide end-to-end support during client onboarding

• Own APIs and SDK documentation

• Analyze technical requirements and design solutions

• Manage implementation projects and timelines

Benefits:

• Medical, dental, and vision plans

• Wellbeing Fund

• Mental Health benefits

• 401(k) program

• Monthly stipend for home office

Experience Requirements:

• 6 months - 1 year+ of relevant closing experience

• Previous SaaS and enterprise software experience

• Previous outbound prospecting experience

• Demonstrated success in achieving sales goals

• Experience selling to sales leaders preferred

Other Requirements:

• Located in NYC metro area within commutable distance

• 3 days a week in-office

Responsibilities:

• Manage prospects from lead to close

• Articulate and demonstrate value proposition

• Cultivate long-term customer relationships

• Maintain weekly sales forecast

• Run and implement pilot program

Benefits:

• Competitive compensation including equity

• Retirement and Employee Stock Purchase Plans

• Flexible paid time off

• Comprehensive benefit plans

• Yearly learning stipend

Experience Requirements:

• 3-5 years client-facing experience as a TAM or similar technical role

• 3+ years of technical experience in SaaS, Mobile, API, or Programming

• Experience managing complex customer environments

Other Requirements:

• Excellent communication skills

• Intellectual curiosity and problem solving skills

• Ability to work effectively under pressure

• Additional languages are a plus

Responsibilities:

• Act as technical advisor for TAM premium service customers

• Drive value, retention, and adoption through customer lifecycle

• Facilitate technical conversations and discovery

• Adopt governance practices like architectural diagrams

• Instill best practice and engineering excellence

Benefits:

• Competitive compensation including equity

• Retirement and Employee Stock Purchase Plans

• Flexible paid time off

• Comprehensive benefit plans

• Professional development and yearly learning stipend

Education Requirements:

• Bachelor’s degree in Computer Science, Data Science, Mathematics, or Engineering

• Master’s or PhD in a relevant technical discipline preferred

Experience Requirements:

• 3–5+ years of hands-on experience as a Data Scientist or ML Engineer

• Experience in customer-facing or consulting roles strongly preferred

• Proficient in Python (Pandas) and core ML libraries

• Skilled in SQL for querying/manipulating datasets

Other Requirements:

• Expertise in writing well-structured, modular, documented code

• Knowledge of engineering best practices (Git, CI/CD, testing)

• Ability to translate technical concepts into clear business value

• Experience with DevOps tools (Airflow, Kubernetes, Terraform) is a plus

Responsibilities:

• Collaborate with customer teams on implementations and ML model configuration

• Extend product capabilities by developing reusable data pipelines and APIs

• Refine and advance reinforcement learning algorithms

• Shaping BrazeAI product strategy through technical expertise

• Provide ongoing expertise to ensure successful adoption and outcomes

Benefits:

• Comprehensive health coverage

• 401(k) matching

• Wellness and work enablement stipends

• Generous PTO

• A Sabbatical program

Experience Requirements:

• 4 – 7+ years of experience in business operations, consulting, investment banking, or a strategy/ops role

• Experience in SaaS, PLG, or AI-driven businesses

• Familiarity with leadership operating cadences (MBR, KPI reviews, board prep)

• Prior exposure to fundraising processes, board materials, or investor relations

Other Requirements:

• Authorized to work in the US

• Within the New York City metro area

• Strong analytical and problem-solving skills; fluency in Excel/Google Sheets or BI tools

• Excellent project management and organizational skills

• Strong communication skills

• Self-starter who thrives in ambiguous environments and has a bias toward action

Responsibilities:

• Partner with the executive team to set and track company KPIs

• Lead preparation, facilitation, and follow-through of the bi-weekly KPI review

• Ensure accountability by documenting decisions, surfacing risks, and driving action items

• Provide Chief of Staff–like support: anticipating needs and creating clarity

• Support quarterly and annual planning processes with a KPI-driven approach

Benefits:

• Equity

Experience Requirements:

• Knowledge of the latest in AI research

Other Requirements:

• Ability to think creatively about problems

• Excitement about helping businesses tackle painful problems with AI

Responsibilities:

• Design novel LLM techniques

• Monitor existing models in production

• Have complete ownership over product and engineering areas

• Work directly with the CEO, CTO, and founding members

Benefits:

• Equity

Experience Requirements:

• Ability to read and debug JSON, APIs, logs, and customer request payloads

• Strong troubleshooting instincts

• Comfort interacting directly with technical users

• High ownership

Other Requirements:

• Fast learner

• Excellent written communication

• Rapid context switching

Responsibilities:

• Act as first technical responder to inbound customer issues

• Triage and debug schema errors and integration failures

• Reproduce issues quickly in Extend to isolate root causes

• Maintain exceptional SLAs through clear communication

• Author internal playbooks and run books

Benefits:

• Equity

Experience Requirements:

• Experience in customer-facing engineering roles

• Ability to architect solutions for complex customer problems

Other Requirements:

• Relentless focus on details

• High agency

• Obsess over customer pain

Responsibilities:

• Design and architect solutions using Extend

• Write the playbook for working with customers

• Act as the primary technical interface for customer evaluations

• Diagnose and resolve technical issues quickly

• Give compelling product demos

Benefits:

• Equity

Experience Requirements:

• Experience with state-of-the-art AI research

• Real-world customer impact focus

Other Requirements:

• Creative problem solving

• Ability to tackle novel, unsolved problems

Responsibilities:

• Train and deploy SOTA vision models for document processing

• Design novel LLM techniques for complex data streams

• Monitor existing models in production and run experiments

• Own large areas of product and engineering

• Work directly with founding leadership to build the team

Benefits:

• Backed by world class investors

Education Requirements:

• Strong foundational understanding of computer science principles

Experience Requirements:

• 3+ years of professional software engineering experience

Other Requirements:

• Interest in AI/ML technologies

• High agency

• Interest in building products powered by LLMs

Responsibilities:

• Build and maintain durable, scalable systems

• Design and implement human-AI interfaces

• Own large areas of product and engineering

• Work directly with founding members

Benefits:

• Equity

Experience Requirements:

• 7+ years of experience building complex software systems

• Experience at high-growth startups

• Experience deploying AI/ML systems into production

• Experience with developer tools is a plus

Other Requirements:

• Ability to take abstract projects end-to-end

• High agency

• Relentless focus on details

Responsibilities:

• Build and maintain durable, scalable systems

• Design and implement human-AI interfaces

• Own large areas of product and engineering

• Work directly with the CEO, CTO, and other founding members

Experience Requirements:

• Consultative selling approach

• Navigating multiple teams (AI, Engineering, Product, Operations)

Other Requirements:

• Founder mentality

• Hungry to win and humble

• Authentic communication across all levels of an organization

Responsibilities:

• Lead end to end sales cycles from education to implementation

• Conduct deep technical discovery to prescribe solutions

• Build champions and partner with them to design POCs

• Shepherd prospects through Legal, Security, and Procurement

• Guide customers from signed contract to successful deployment

Benefits:

• Equity

Experience Requirements:

• Built a following or shipped content that developers love

• Strong sense of taste in developer tools

• Written or created technical content that was widely shared

Other Requirements:

• Resourceful, fast, and creative founder mentality

• Comfortable on camera or stage

Responsibilities:

• Engage with developers on X, LinkedIn, GitHub, and Discord

• Create content that spreads (blogs, videos, tutorials)

• Build sample apps, walkthroughs, and SDK demos

• Represent Extend in person at conferences and hackathons

• Improve docs, SDKs, and onboarding based on community feedback

Benefits:

• Equity

Experience Requirements:

• Strong engineering fundamentals shipping real systems

• Experience with APIs, datasets, evals, or developer tooling

• Background in high-growth startups

Other Requirements:

• Founder mentality

• Obsession with outcomes, not activity

• High agency and velocity

Responsibilities:

• Build public-facing technical projects (e.g. OCR Arena)

• Design and run benchmarks for document processing

• Ship technical demos and reference implementations

• Write production-quality code across the stack

• Instrument experiments and tie them to adoption impact

Experience Requirements:

• Relevant publications

• 2+ years of experience in a research role in industry

• Proven track record of contributions to open source language, audio, or video models

• 2+ years of experience contributing to the training and/or fine-tuning of models

Other Requirements:

• Expertise in the Python ecosystem and popular ML libraries and tools (e.g. PyTorch)

• Experience writing robust and maintainable production-ready code

• Comfort iterating quickly on new and uncertain research directions

Responsibilities:

• Build state-of-the-art speech-language models (SLMs)

• Build software systems for distributed training, inference, and benchmarking

• Massive-scale data collection, storage, preprocessing, and analysis

• Solve AI research problems at industry scale