AI Jobs

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

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:

• 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:

• 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:

• 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:

• 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:

• 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 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:

• Comprehensive health insurance

• 401K

• Unlimited PTO

• Travel budget

• Office equipment allowance

Experience Requirements:

• 2+ years experience in Business Operations or Chief of Staff

• Track record of tackling ambiguous business problems

• Strong strategic thinking and operational execution

• Highly organized and detail-oriented

Other Requirements:

• Management consulting background preferred

Responsibilities:

• Drive cross-functional alignment

• Partner with CEO on strategic projects

• Support GTM execution and forecasting

• Aggregate company financials and modeling

• Own end-to-end execution of cross-company 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

Benefits:

• Comprehensive health insurance

• 401(k) and pre-tax benefits

• Unlimited PTO

• Travel budget

• Office Equipment allowance

Experience Requirements:

• 5+ years of hands-on experience positioning B2B products

• Track record of delivering growth in demand

• Experience in financial services or fintech preferred

• Excellent written and verbal communication skills

• Expertise in account-based marketing strategies

Other Requirements:

• Self-starter mentality

• Proficient in social channel communications

• Experienced user of generative AI tools

Responsibilities:

• Develop product positioning and messaging

• Develop sales enablement materials

• Build and manage growth marketing channels

• Create and optimize conversion funnels

• Develop content marketing and thought leadership

Benefits:

• Comprehensive health insurance

• 401(k) and pre-tax benefits

• Unlimited PTO

• Travel budget

• Office Equipment allowance

Experience Requirements:

• 10+ years of hands-on experience positioning B2B products

• Track record of delivering growth in demand

• Experience in financial services or fintech preferred

• Excellent communication skills

• Expertise in account-based marketing

Other Requirements:

• Self-starter mentality

• Experienced user of generative AI tools

Responsibilities:

• Develop product positioning and messaging

• Develop sales enablement materials

• Build and manage growth marketing channels

• Create and optimize conversion funnels

• Develop content marketing and manage PR

Benefits:

• Comprehensive health insurance

• 401K

• Unlimited PTO

• Travel budget

• Office equipment allowance

Education Requirements:

• Advanced degree (MBA, CFA, CQF, MSc Finance, etc.) preferred

Experience Requirements:

• 3+ years of experience in a financial expert role

• Deep understanding of financial workflows

• Proven ability to influence senior decision-makers

• Excellent presentation and communication skills

Other Requirements:

• Proactive and self-driven mindset

• Prior experience in risk, quant, or trading systems preferred

Responsibilities:

• Support the full sales cycle with domain expertise

• Engage senior stakeholders in deep conversations

• Lead tailored demos and workshops

• Serve as a trusted advisor on AI potential

• Influence product roadmap as Voice of the Customer

Benefits:

• Competitive and uncapped commission / OTE

• Vested equity

• Career progression to leadership

• Opportunity to build and lead a sales team

Experience Requirements:

• Proven experience selling Salesforce Professional Services projects

• Background in a Salesforce ISV and/or SI environment

• Strong understanding of Professional Services scoping and pricing

• Mid-market and enterprise Salesforce sales experience

• Based in London with ability to be customer-facing and on-site

Other Requirements:

• Proactive, commercially focused approach

• Comfortable working independently and setting direction

• Strong personal connections within the Salesforce ecosystem

Responsibilities:

• Identify and develop Professional Services opportunities

• Scope, structure, and sell Professional Services engagements

• Own the end-to-end Professional Services sales cycle

• Partner with Professional Services delivery and product teams

• Build relationships across the Salesforce ecosystem

Benefits:

• bonus

• mentorship from the Head of Transformation

• professional development toward certifications

• exposure to cutting-edge tools like RPA

Education Requirements:

• relevant degree (desirable)

• IIBA ECBA/CBAP (desirable)

• BCS (desirable)

• PMI-PBA (desirable)

• Lean Six Sigma Green Belt (desirable)

Experience Requirements:

• Proven business analysis experience in transformation/change programs

• systems thinking for holistic analysis

• competent in requirements techniques (BPMN/swim lanes, user stories)

• Agile/Scrum/Prince2

• change frameworks (ADKAR/Prosci)

Other Requirements:

• Proficiency in Excel, SQL basics, Power BI

• experience with RPA, low-code, CRM platforms

• comfort in clinical/operational settings

Responsibilities:

• Conduct structured discovery to map current-state processes

• Elicit, analyse, and document business requirements

• Perform data analysis with tools like Excel and SQL

• Engage stakeholders via workshops and interviews

• Support change enablement and UAT

Benefits:

• Uncapped OTE

• Equity

• Comprehensive Benefits

Experience Requirements:

• 5+ years of heavyweight enterprise sales experience

• documented track record of consistently meeting or exceeding quotas

• Deep experience selling within the Google Cloud ecosystem

Other Requirements:

• Boardroom Presence

• Builder Mentality

• Self-starter mindset

Responsibilities:

• Driving end-to-end sales of enterprise AI platform

• Building and commanding a high-quality C-Suite pipeline

• Capitalizing on joint GTM motions with Google Cloud

• Crafting bulletproof proposals and PoCs

• Staying on the bleeding edge of AI and cloud trends

Benefits:

• Uncapped OTE

• Equity

Experience Requirements:

• 8–15 years of heavy-hitting enterprise B2B sales experience

• Proven success selling foundational enterprise platforms

• track record of closing highly complex, 7-figure deals

Other Requirements:

• Executive Presence

• Commercial Discipline

• outcome-oriented operator

Responsibilities:

• Closing massive, multi-year platform deals

• Driving the entire enterprise sales motion

• Acting as a peer and advisor to the C-Suite

• Building commercial cases anchored in cost-reduction

• Collaborating with pre-sales, product, and SIs

Benefits:

• competitive equity

• benefits

Experience Requirements:

• 5+ years experience in software engineering

• Experience with production ML or conversational AI systems

• Expertise in Python, TensorFlow, PyTorch

Other Requirements:

• Experience with telephony integration

• Energetic startup mindset

• experience with LLMs (bonus)

Responsibilities:

• Architect and build conversational AI systems

• Develop and optimize NLP pipelines

• Integrate AI systems with telephony platforms

• Build and optimize LLM-powered conversation flows

• Establish monitoring and logging for system performance