AI Jobs

Benefits:

• Free health, vision, dental insurance

• 401k with match

• Unlimited PTO + 13 company holidays

• Daily Grubhub lunch stipend

• Pre-tax commuter benefits

Experience Requirements:

• 4–7 yrs at a top-tier management consultancy, agency strategy group, or marketing analytics team

• Track record running data-driven marketing transformations for enterprise brands

Other Requirements:

• Fluency in SQL/BI

• Experience navigating enterprise procurement, security, and change-management cycles

Responsibilities:

• Lead & Scale the Client Success function

• Trusted advisor to the C-suite

• Own Expansion (upsell/cross-sell) and renewals

• Drive Impact Reviews (EBRs/QBRs)

• Create Agile Playbooks & Tooling

Benefits:

• Free health, vision, dental insurance

• 401k with match

• Unlimited PTO + 13 company holidays

• Daily Grubhub lunch stipend

• Pre-tax commuter benefits

Education Requirements:

• Bachelor’s or advanced degree in Computer Science, math or equivalent

Experience Requirements:

• 3+ years of experience in data engineering

• 2+ years building ETL pipelines in a major cloud provider

• Highly proficient in python and SQL

• Advanced knowledge of databases, design patterns, OOP, and concurrency

Other Requirements:

• Knowledge of data management fundamentals and storage principles

• Experience with AWS and orchestration platforms

• Strong software engineering fundamentals

Responsibilities:

• Build distributed systems for petabyte-scale data

• Design, implement, and maintain production cloud data pipelines

• Support rigorous scientific process and rapid experimentation

Benefits:

• Free health, vision, dental insurance

• 401k with match

• Unlimited PTO + 13 company holidays

• Daily Grubhub lunch stipend

• Pre-tax commuter benefits

Experience Requirements:

• 3+ years experience in accounting, finance, or related roles

• SaaS / subscription business experience strongly preferred

Other Requirements:

• Deep understanding of accounting processes and GAAP principles

• Strong financial modeling skills

• Strong grasp of SaaS metrics and revenue mechanics

• Resourceful and self-directed

Responsibilities:

• Own the full-cycle close

• Run day-to-day financial operations

• Maintain the company’s financial model

• Prepare monthly reporting package

• Tax & regulatory compliance

Benefits:

• Free health, vision, dental insurance

• 401k with match

• Unlimited PTO + 13 company holidays

• Daily Grubhub lunch stipend

• Pre-tax commuter benefits

Experience Requirements:

• 3–6+ years of recruiting experience

• Significant focus on GTM roles

• Proven experience hiring Account Executives, Customer Success, or Solutions Consultants

• Experience working in early-stage or high-growth environments

Other Requirements:

• Strong understanding of enterprise SaaS sales motions

• Excellent stakeholder management and communication skills

Responsibilities:

• Own full-cycle recruiting for AE, CSM, and Solutions Consultant roles

• Partner with GTM leaders on hiring plans

• Proactively source passive candidates

• Design structured interview plans

• Lead offer strategy and closing

Benefits:

• Free health, vision, dental insurance

• 401k with match

• Unlimited PTO + 13 company holidays

• Daily Grubhub lunch stipend

• Pre-tax commuter benefits

Experience Requirements:

• 7–10 years closing new-logo SaaS deals >$100k ACV

• Consistent track record of meeting or exceeding quota

• Self-starter in early-stage settings

• Marketing fluency (CAC, LTV, ROAS)

Other Requirements:

• Familiar with enterprise procurement and security reviews

• Analytical & technical acumen to demo data products

Responsibilities:

• Full-Cycle Enterprise Sales

• Pipeline Generation

• Value-Driven Storytelling

• Deal Structuring

• Establish repeatable sales workflow

Benefits:

• Free health, vision, dental insurance

• 401k with match

• Unlimited PTO + 13 company holidays

• Daily Grubhub lunch stipend

• Pre-tax commuter benefits

Experience Requirements:

• 4-6 years in B2B product marketing

• At least 2 years in adtech, martech, or data platforms

• Track record building sales enablement from scratch

Other Requirements:

• Ability to translate complex technical differentiation into buyer-facing narratives

• Strong writing skills

• Use of AI tools in core workflow

Responsibilities:

• Positioning & Messaging architecture

• Build Sales Enablement (decks, ROI calculators)

• Develop GTM Strategy by Vertical

• Product-Market Feedback Loop

• Category Creation

Benefits:

• Work directly with founders and senior leaders

• Build in one of the fastest-moving spaces in enterprise AI

• Real ownership. Real impact. No layers.

• Opportunity to shape your role as the company scales

Experience Requirements:

• Have worked in startups (0→1 or 1→10 scale)

• Have exposure to AI, SaaS, or enterprise workflows

Other Requirements:

• High ownership and bias for action

• Comfort working in fast-moving, ambiguous environments

• Strong problem-solving ability

• Clear communication and structured thinking

• Deep craft in your area of expertise

Responsibilities:

• Meaningfully accelerate Lyzr’s journey

Benefits:

• Work with a mission-driven team to create the cutting edge of agentic AI

• Your work will directly influence Lyzr’s revenue trajectory

• Growth: We are a team that values learning, humility, and coaching

Education Requirements:

• Bachelor’s degree in Tech/Business Administration, Marketing, Math/Economics/Finance, or related field

• Master’s or advanced degree preferred

Experience Requirements:

• 2–5 years of experience in software partner management, tech business development, B2B software sales, or tech/biz consulting

Other Requirements:

• Available during 08:00–18:00 US Eastern Time

• High-quality internet for voice calls

• Exceptional English Communication (written and spoken)

• Cloud Fluency

• Passion for AI

Responsibilities:

• Prospect and cultivate relationships with cloud partners to accelerate deals

• Enable Lyzr sales to move faster and close more deals

• Ensure partner ops teams execute correct deal registration

• Collaborate with Lyzr’s marketing teams to generate demand

• Develop and maintain strong relationships with partner field sales teams

Benefits:

• Work on high-impact initiatives that directly influence company growth

• Own systems and processes with the autonomy to make decisions

• Be part of a fast-paced environment that values speed, learning, and execution

• Contribute to a mission-driven company building AI agents

• Collaborate with a sharp, driven, and supportive team

Experience Requirements:

• 2+ years of experience in marketing operations or analytics roles

• Proven HubSpot expertise

Other Requirements:

• Strong analytical skills with a data-first mindset

• Fluency in building dashboards using Sheets, Excel, or BI tools

• Excellent communication skills

• A bias for ownership and action

• A collaborative mindset

Responsibilities:

• Manage and own HubSpot as the central CRM and marketing automation platform

• Monitor and optimize the entire funnel from lead generation to closed deals

• Develop and maintain dashboards and decks for performance communication

• Oversee website integrations such as Cal.com

• Act as the operational bridge between marketing and sales

Benefits:

• Remote or in-office work depending on firm needs

Education Requirements:

• Associate degree or higher in Accounting, Finance, or related field

Experience Requirements:

• 2+ years of bookkeeping experience

Other Requirements:

• Proficiency in QuickBooks, Xero, or similar accounting platforms

• Strong understanding of accounts payable, accounts receivable, and general ledger

• Payroll processing experience

• Familiarity with U.S. tax regulations

• Accounting or bookkeeping certification

Responsibilities:

• Maintain accurate financial records and post transactions

• Process accounts payable and accounts receivable

• Record payroll transactions and related entries

• Perform monthly bank and credit card reconciliations

• Prepare monthly, quarterly, and annual financial statements

Benefits:

• Annual individual learning and development budget of £500

• 33 days of annual leave

• Sabbatical leave offer

• Generous private healthcare package

• Cycle to work scheme

Experience Requirements:

• Minimum of 7+ years of experience in software engineering

• Strong track record of leading engineering teams or projects

• Expert proficiency in Python or Go

• Experience in architecting and building scalable systems

• Extensive experience with cloud platforms (e.g., AWS, Azure)

Other Requirements:

• Experience with Docker and Kubernetes

• Expertise in data pipelines, APIs, and microservices

• Knowledge of relational and non-relational databases

• Proficiency in TDD, version control, and CI/CD

• Excellent collaboration and leadership skills

Responsibilities:

• Lead architecture, design, and development of software systems

• Collaborate with leadership and cross-functional teams

• Troubleshoot and resolve complex technical issues

• Set and enforce high standards of code quality

• Mentor and guide the engineering team

Benefits:

• Annual individual learning and development budget of £500

• 33 days of annual leave

• Sabbatical leave offer

• Generous private healthcare package

• Cycle to work scheme

Education Requirements:

• Background in technology, computer science, or engineering organisations (desirable)

Experience Requirements:

• Proven experience (5+ years) supporting C-level technology executives

• Strong technical fluency (SDLC, Agile/Scrum)

• Proficiency in Google Workspace, Slack, Notion, and Linear

• Track record of handling sensitive information with discretion

• Proficiency with AI productivity tools (desirable)

Other Requirements:

• Exceptional calendar and stakeholder management

• Outstanding written and verbal communication

• Experience with data visualisation tools or dashboards

• Experience coordinating board meetings or investor relations

Responsibilities:

• Manage the CTO's calendar and external communication

• Prepare briefing materials for board meetings and technical reviews

• Own developer experience (DevX) initiatives and documentation

• Coordinate cross-functional projects and report on progress

• Create dashboards and reports to surface KPIs and metrics

Benefits:

• equity

• employer-covered health/vision/dental insurance

• optional FSA

• 401k matching

• generous PTO allowance

Education Requirements:

• very strong CS, math, physics or similar degree from a leading program

• PhD applicants are actively considered

Experience Requirements:

• 4+ years experience building applications

• proven ability in writing clean, scalable code

• significant experience in one or more programming languages

• solid knowledge of programming fundamentals

• proven capability in creating a successful software product

Other Requirements:

• Excited to move fast and know how to prioritize

• Comfortable working outside of a traditional narrow engineering role

• Effective communication between technical and business staff

• Broad skillset blurring lines between engineering and data science

• Exceptional computational or business background

Responsibilities:

• envisioning, designing, coding, testing and improving products

• continual collaboration with data scientists and stakeholders

• building new back-end and front-end features

• instilling best practices like automated testing and code organization

• evaluating potential new technologies

Benefits:

• Company equity grants

• Employer-covered health, vision, and dental insurance

• 401k matching

• 20 days of PTO allowance per year

• 10 annual holidays

Education Requirements:

• Degree in a STEM discipline preferred (or equivalent practical experience)

Experience Requirements:

• 4+ years of experience in applied data science or machine learning

• Strong Python and SQL skills

• Experience developing and evaluating supervised ML models

• Practical experience with experimentation and statistical reasoning

• Familiarity with reinforcement learning or decisioning frameworks

Other Requirements:

• Demonstrated ability to independently frame problems

• Strong communication skills across technical and business audiences

• Experience in telecom, subscription, pricing, or churn analytics

• Exposure to contextual bandits or policy optimization

• Familiarity with AI agents

Responsibilities:

• Translate business asks into modeling tasks and evaluation frameworks

• Develop predictive models and decision logic

• Design and analyze A/B tests or staged rollouts

• Specify model inputs, outputs, and logging for monitoring

• Communicate findings and tradeoffs to stakeholders

Benefits:

• Competitive compensation

• Equity

• Benefits

Experience Requirements:

• 3–5 years of quota-carrying sales experience in B2B SaaS

• Track record of meeting or exceeding sales targets

Other Requirements:

• Consultative selling skills

• Entrepreneurial mindset

• Passion for AI and the future of work

• Excellent communication and storytelling skills

Responsibilities:

• Drive net-new revenue

• Conduct product demos

• Build and manage pipeline of mid-market accounts

• Collaborate cross-functionally

• Represent Rhythms as a thought leader

Benefits:

• Competitive salary

• Early-stage equity

Experience Requirements:

• 5-8+ years in growth roles with impact on pipeline or revenue

• Experience at AI-native tech companies or fast-growing startups

• Track record of shipping experiments that moved key metrics

Other Requirements:

• Strategic & Tactical thinking

• Strong analytical skills (funnels, cohort analyses)

• Ability to use AI to accelerate analysis

• Strong written and verbal communication

Responsibilities:

• Identify high-leverage growth opportunities

• Design experiments to test growth hypotheses

• Analyze end-to-end funnels

• Partner with Sales to improve lead quality

• Own metrics like pipeline contribution and SQL conversion

Benefits:

• Competitive salary

• Early-stage equity

Experience Requirements:

• ~5 years as an EA or operations lead supporting a C-level executive

• Experience supporting founders through board management and rapid scaling

• Experience coordinating across distributed teams

Other Requirements:

• AI-First Mindset (daily use of Claude, ChatGPT, etc.)

• Absolute trust and confidentiality

• Owner mentality and resourcefulness

• Systematic thinker

Responsibilities:

• Manage CEO's time and complex calendar

• Coordinate company operations (offsites, board prep)

• Hiring coordination and candidate experience management

• Draft executive communications

• Research and execute strategic projects

Benefits:

• Comprehensive health insurance

• 401(k) and pre-tax benefits

• Unlimited PTO

• Travel budget

• Office Equipment allowance

Education Requirements:

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

Experience Requirements:

• Strong background in deep learning, large language models, and NLP techniques

• Track record of first-author publications in top AI/NLP conferences

• Proficiency in Python and deep learning frameworks (PyTorch, Transformers)

Other Requirements:

• 2+ years of industry applied ML research experience preferred

• Familiarity with retrieval-augmented generation and RL

Responsibilities:

• Formulate ML problems from product requirements

• Analyze existing ML systems and propose novel methodologies

• Create and productionize research prototypes

• Build novel ML evaluation datasets

• Mentor ML interns and publish research findings

Benefits:

• Comprehensive health insurance

• 401(k) and pre-tax benefits

• Unlimited PTO

• Travel budget

• Office Equipment allowance

Education Requirements:

• Bachelors in Computer Science, Engineering or related qualification

Experience Requirements:

• 5+ years experience in tech industry

• Experience in backend or distributed systems

• Experience in data/indexing/search systems at scale

• Expertise in building for scale and performance

Other Requirements:

• Proactive and eager to take ownership

• Fast iteration based on user engagement

• Excited about mentoring

Responsibilities:

• Develop and own core system components

• Design document ingestion systems at scale

• Provide engineering best practices

• Build extensible systems for business problems

Benefits:

• Comprehensive health insurance

• 401(k) and pre-tax benefits

• Unlimited PTO

• Travel budget

• Office Equipment allowance

Education Requirements:

• Bachelors in Computer Science, Engineering or related qualification

Experience Requirements:

• 3+ years experience in industry applied ML

• Experience in LLM model training, inference and eval

• Experience in serving ML models to a significant number of users

Other Requirements:

• Proactive and eager to take ownership

• Fast iteration based on user engagement

Responsibilities:

• Design scalable ML inference/training systems

• Automate ML pipelines at scale

• Productionize research prototypes

• Develop evaluations/models to improve core systems