Other Requirements:

• Legally authorized to work in the United States

Benefits:

• 100% company-paid medical, dental, and vision coverage for employees and families

• 401(k) plan up to 4% company match with immediate vesting

• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers

• Remote work reimbursement up to $85/month for mobile and internet

• Company-paid short-term, long-term and life insurance coverage

Experience Requirements:

• 6+ years building production backend systems, of which 3+ years actively building and operating billing or metering systems in production

• Hands-on experience with usage-based / metered billing: rating, aggregation, and proration logic

• Hands-on experience with subscription / recurring billing alongside usage-based models

• End-to-end integration of a third-party billing platform (Stripe Billing, Metronome, Orb, or Zuora)

• Production experience with transactional databases (Postgres or equivalent) for financial-grade data

Other Requirements:

• Strong expertise in Python and TypeScript/Node (Go a plus)

• Built high-volume event / usage pipelines into a data warehouse

• Product-Led Growth (PLG) experience

• Hands-on with Auth0, Okta, or similar identity systems in production

• Shipped revenue systems under SOX or financial audit constraints

Responsibilities:

• Design and operate the billing platform end to end, from usage events to invoices

• Build metering and usage-aggregation pipelines that turn high-volume events into billable amounts

• Design and operate prepaid credit/wallet systems with auto top-up and balance management

• Support enterprise/contract billing with custom pricing, negotiated terms, and scheduled invoicing

• Build reconciliation, idempotency, and invoice-accuracy safeguards to ensure revenue data is always correct

Benefits:

• 100% company-paid medical, dental, and vision coverage for employees and families

• 401(k) plan up to 4% company match with immediate vesting

• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers

• Remote work reimbursement up to $85/month for mobile and internet

• Company-paid short-term, long-term and life insurance coverage

Experience Requirements:

• 5-8 years in a DevOps or SRE role, working in production environments

• Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale

• Strong Kubernetes experience in a managed cloud environment

• Proficiency with infrastructure as code (Terraform or similar)

• Experience with GitOps-based deployment workflows

Other Requirements:

• Built or maintained observability stacks (logging, metrics, alerting)

• Experience handling production incidents calmly and methodically

Responsibilities:

• Managing Kubernetes clusters across multiple environments and regions

• Owning infrastructure as code for all resources

• Maintaining and improving CI/CD pipelines and GitOps-based deployments

• Maintaining and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors

• Building out monitoring, alerting, and observability

Experience Requirements:

• 3+ years of software engineering experience, ideally in a customer-facing technical role

• Strong hands-on engineering ability, especially with Python, APIs, backend systems, and production software development

• Experience building with LLMs, Retrieval-Augmented Generation, agent architectures, context engineering, and modern AI application stacks

• Experience working with enterprise customers, including technical discovery, POCs, solution design, stakeholder management, and production rollout

Other Requirements:

• Strong understanding of how enterprises evaluate, deploy, secure, and scale AI systems

• Ability to communicate clearly with both technical and executive stakeholders

• High autonomy, strong ownership, and comfort operating in a fast-moving startup environment

• Excellent written and verbal communication skills

• Based in New York City, or willing to relocate

Responsibilities:

• Work directly with enterprise customers to understand their AI use cases, technical architecture, success criteria, and deployment requirements

• Lead technical discovery and solution design during pre-sales and expansion conversations

• Scope, build, and deliver proofs of concept that demonstrate clear business and technical value

• Design and implement production-ready integrations using Tavily’s API, including RAG pipelines, agent workflows, internal tools, and GenAI applications

• Partner with customer engineering, data, product, and AI teams to move use cases from prototype to production

Benefits:

• Medical insurance

Benefits:

• Remote first organization

• 100% Company paid Health/Dental/Vision benefits

• Life Insurance, Short-term and Long-term Disability

• 401k

• Unlimited PTO

Experience Requirements:

• Good understanding of the AI landscape

• Hands-on experience with LLMs, Vector Databases, and RAG

• Experience with Agent builders

• Proficiency with REST/GQL APIs

• Experience with cloud-native architectures (Kubernetes)

Other Requirements:

• Authorized to work in the United States

• No sponsorship of employment visas

Responsibilities:

• Deliver proof of value through technical integration

• Proactively sandbox and test emerging partner technologies

• Create reference architectures and technical blog posts

• Act as a feedback loop between partner ecosystem and internal teams

• Architect technical solutions leveraging partner capabilities

Benefits:

• Remote first organization

• 100% Company paid Health/Dental/Vision benefits

• Life Insurance, Short-term and Long-term Disability

• 401k

• Unlimited PTO

Education Requirements:

• Masters or higher degree in Computer Science, Machine Learning, or related field

• Bachelors degree with relevant work experience

Experience Requirements:

• 5+ years of industry experience

• Technical leadership experience a plus

• Experience in TypeScript

• Demonstrated knowledge of Golang, Python, and SQL

• Experience with developing large-scale micro-service oriented solutions

Other Requirements:

• Authorized to work in the United States

• No sponsorship of employment visas

Responsibilities:

• Build a secure, stable, and scalable platform for systems of record

• Improve data ingestion systems for IR and QA systems

• Enable IR systems to scale to very large collections of documents

• Enable new generation of AI-driven applications

Benefits:

• Remote first organization

• 100% Company paid Health/Dental/Vision benefits

• Life Insurance, Short-term and Long-term Disability

• 401k

• Unlimited PTO

Education Requirements:

• Bachelor’s degree

Experience Requirements:

• Minimum of 5 years of related experience

• Coding experience in Golang and Python

• Working knowledge of micro-service architectures

• Understanding of service mesh frameworks (Istio) and container systems (Docker)

• Working knowledge of Relational and NoSQL databases

Other Requirements:

• Authorized to work in the United States

• No sponsorship of employment visas

Responsibilities:

• Work closely with peers to design & code robust scalable components

• Apply architecture and design principles holistically

• Provide focus on DevOps and MLOps use-cases and workflows

• Build automated pipelines for ML model training, evaluation and deployment

Benefits:

• Remote first organization

• 100% Company paid Health/Dental/Vision benefits

• Life Insurance, Short-term and Long-term Disability

• 401k

• Unlimited PTO

Experience Requirements:

• 8+ years for Senior, 12+ years for Staff

• Proven experience building distributed systems at 100M+ scale

• Deep knowledge of parallel and distributed computing concepts

• Hands-on experience with vector databases

• Proficiency in systems programming languages such as C++, Go, or Rust

Other Requirements:

• Authorized to work in the United States

• No sponsorship of employment visas

Responsibilities:

• Design GPU resource allocation and scheduling

• Build and operate GPU clusters for production inference

• Profile and optimize GPU-based inference pipelines

• Establish performance benchmarking framework

• Design and implement distributed ingestion pipeline

Benefits:

• Remote first organization

• 100% Company paid Health/Dental/Vision benefits

• Life Insurance, Short-term and Long-term Disability

• 401k

• Unlimited PTO

Education Requirements:

• Bachelor's degree with 3 years experience

• Master's degree with 1 year experience

• Ph.D. without experience

• Equivalent work experience

Experience Requirements:

• Working knowledge of micro-service architectures

• Experience with API protocols and patterns

• Infrastructure as Code experience with Terraform

• Coding experience in Golang, Python, TypeScript

• Awareness/Familiarity with current LLM AI infrastructure

Other Requirements:

• Authorized to work in the United States

• No sponsorship of employment visas

Responsibilities:

• Work closely with peers to design & code robust scalable components

• Apply architecture and design principles holistically

• Provide focus on DevOps use-cases and workflows

• Drive decisions through a crisp decision-making process

• Analyze criteria and options to answer key questions

Benefits:

• Remote first organization

• 100% Company paid Health/Dental/Vision benefits

• Life Insurance, Short-term and Long-term Disability

• 401k

• Unlimited PTO

Experience Requirements:

• 5–7 years of progressive FP&A or financial analytics experience

• 2+ years at B2B SaaS companies

• SQL proficiency required

• Advanced Excel skills including financial modeling

• Solid understanding of GL structure and accounting fundamentals

Other Requirements:

• Authorized to work in the United States

• No sponsorship of employment visas

Responsibilities:

• Manage complex models for forecasting and budgeting

• Build and own data pipelines and KPI reporting infrastructure

• Assist in financial planning as key FP&A partner

• Produce variance analysis with actionable commentary

• Own department-level budget vs. actual reporting

Benefits:

• Remote first organization

• 100% Company paid Health/Dental/Vision benefits

• Life Insurance, Short-term and Long-term Disability

• 401k

• Unlimited PTO

Education Requirements:

• Bachelor's degree or equivalent practical experience

Experience Requirements:

• 3-5 years of experience in product management

• 2 years of experience within artificial intelligence or Machine Learning

• Demonstrated experience leading product or enterprise communications

• Experience with coding/engineering fundamentals

• Deep knowledge of machine learning, AI, and GenAI

Other Requirements:

• Authorized to work in the United States

• No sponsorship of employment visas

Responsibilities:

• Own the NL2SQL initiative in partnership with Research

• Ensure core generative and RAG services are portable-ready

• Partner with orchestration tool for compatibility

• Define how we operationalize Model Context Protocol

• Own the health, reliability, and evolution of RAG services

Benefits:

• Remote first organization

• 100% Company paid Health/Dental/Vision benefits

• Life Insurance, Short-term and Long-term Disability

• 401k

• Unlimited PTO

Education Requirements:

• A bachelor's degree in computer science, Engineering, or related technical field

Experience Requirements:

• 5+ years of program/technical program management experience

• Strong technical literacy with engineering engagement

• Proven track record driving cross-functional programs

• Experience with agile/lean delivery frameworks

• Familiarity with V2MOM framework or similar methodologies

Other Requirements:

• Authorized to work in the United States

• No sponsorship of employment visas

Responsibilities:

• Lead complex, multi-team programs

• Define and drive program roadmaps

• Own all aspects of technical program management

• Serve as primary technical program point of contact

• Manage risks, issues, and actions

Benefits:

• Offers Equity

Experience Requirements:

• Previous experience delivering production AI systems involving language models

• Solid software engineering skills with experience in distributed systems

• Proficiency in Python and modern ML frameworks (PyTorch, Hugging Face)

• Hands-on experience with prompt engineering, fine-tuning, and deploying LLMs

• Ability to wrangle, clean, and preprocess large-scale datasets

Responsibilities:

• Lead end-to-end AI development from initial concept through production deployment

• Design and implement LLM-powered solutions for technical documents

• Handle multi-modal complexity and explore multi-agent and RL approaches

• Design strategies to manage latency, output variance, and error handling

• Collaborate with product and engineering teams to embed AI capabilities

Benefits:

• Offers Equity

Education Requirements:

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, or related field

Experience Requirements:

• 4+ years of hands-on ML compiler or systems engineering experience

• Demonstrated experience building and owning an end-to-end compiler stack

• Experience working with machine learning models, neural network graphs, and graph optimizations

• Comfortable collaborating with hardware teams to map novel architectural primitives

• Strong understanding of compiler performance trade-offs, profiling, and bottleneck analysis

Responsibilities:

• Work across the full stack with software, systems, and hardware teams

• Contribute to shaping the long-term compiler architecture and tooling strategy

• Design and implement parts of the compiler stack targeting our novel AI accelerator

• Build and evolve MLIR/LLVM based infrastructure

• Collaborate closely with hardware architects, microarchitects, and research teams

Benefits:

• Offers Equity

Experience Requirements:

• 5-8 years of frontend software engineering experience

• Strong frontend coding skills in TypeScript and React

• Experience crafting complex user experiences with a strong intuition for design

• Experience working with LLMs or building AI-powered applications

• Proven ability to learn continuously and work independently

Responsibilities:

• Building complete, integrated prototypes that bring AI capabilities to life

• Architecting and developing interactive workflow UIs

• Collaborating closely with product designers to ensure interface quality

• Owning APIs and orchestration patterns connecting frontends with ML services

• Partnering with ML researchers and users to translate requirements into features

Benefits:

• Offers Equity

Experience Requirements:

• 5-8 years of software engineering experience

• Experience building complex systems with a focus on reliability and performance

• Experience working with LLMs or building AI-powered applications

• Proven ability to learn continuously and work independently

• Skill and comfort working in a constantly evolving environment

Responsibilities:

• Building complete, integrated prototypes that bring AI capabilities to life

• Architecting and developing backend systems that support complex verification workflows

• Owning API contracts between frontend and backend systems

• Driving engineering roadmaps in collaboration with researchers and product managers

Benefits:

• Offers Equity

Education Requirements:

• PhD in CS/AI/ML (or equivalent research experience)

Experience Requirements:

• Strong Python and ML framework experience (PyTorch preferred)

• Demonstrated ability to turn research into working systems

• Experience designing eval harnesses and success metrics for agentic tasks

• Comfortable with data acquisition and curation from documents/logs

• Reproducibility mindset (tests, seeds, configs, logging)

Responsibilities:

• Design and implement multi-agent and RL approaches for code generation

• Build research prototypes that integrate with nectar

• Create evaluation suites including task specs and cost/latency dashboards

• Acquire and curate datasets from PDFs/logs/tables

• Analyze experiments with disciplined ablations and document results

Benefits:

• Offers Equity

Experience Requirements:

• 5+ years of experience in Digital Verification at a major semiconductor or EDA tool company

• Advanced proficiency in SystemVerilog and UVM methodology

• Proficiency in EDA verification tools (vManager, Xcelium, Jasper)

• Proficiency and application of Python or Perl scripting

• Proven expertise in end-to-end design verification flow

Responsibilities:

• Review AI-generated collateral to help shape product strategy

• Provide design verification for internal hardware projects

• Set up and evaluate EDA tools for internal usability

• Create testbench environments, assertions, and coverage from design documents

• Curate and annotate datasets for chip specification association

Benefits:

• Offers Equity

Education Requirements:

• Technical background (CS/ EE background or similar technical field)

Experience Requirements:

• Experience in enterprise B2B product at a high-growth technology company

• Management consulting experience at a top-tier consulting firm

• Exceptional written and verbal communication skills

• Executive presence and strong business judgment

• Entrepreneurial sense of ownership for overall team and product success

Responsibilities:

• Be the product leader for our most critical customers

• Act as a trusted thought partner for senior customer leadership

• Lead opportunity discovery and identify where Normal can shift outcomes

• Distill customer insight into structured product direction and prioritization

• Scale successful engagements into repeatable patterns and platform capabilities