Benefits:

• Challenging, high-impact projects

• Collaborative, inclusive, and founder-led culture

• Competitive compensation and equity

• Comprehensive benefits package

Experience Requirements:

• Proven experience selling infrastructure, platform, or deep technical solutions

• Strong understanding of modern cloud-native and distributed architectures

• Familiarity with AI/ML infrastructure, HPC, or networking technologies

• Experience selling to engineering-led organizations

• Consistent track record of meeting or exceeding quota

Other Requirements:

• Ability to articulate complex technical value

• Comfortable operating in an early-stage startup environment

• Passion for building something foundational

Responsibilities:

• Own and manage the full enterprise sales cycle across East Coast accounts

• Build and execute strategic account plans targeting large enterprises

• Engage deeply with technical buyers and senior business stakeholders

• Lead complex sales processes with high-value contracts

• Partner closely with Sales Engineering, Product, Marketing, and Founders

Benefits:

• Highly competitive cash compensation

• Equity

• Medical benefits

Experience Requirements:

• 8+ years in CX enablement, support operations, or CX management

• Experience creating and scaling support training programs

• Experience managing Learning Management Systems (LMS)

Other Requirements:

• Familiarity with CX knowledge management best practices

• Strong analytical and problem-solving skills

• Exceptional stakeholder management abilities

• Curiosity and willingness to adopt AI tools

Responsibilities:

• Lead the CX Enablement function for User Operations

• Build and grow a high-performing enablement team

• Provide strategic guidance to instructional designers

• Oversee the development of CX knowledge bases

• Leverage AI workflows to drive CX-wide efficiency

Benefits:

• 10 benefits

Responsibilities:

• Analyze product performance

• Generate product insights

Experience Requirements:

• Senior level experience

Responsibilities:

• Build scalable backend services

• API design and implementation

Responsibilities:

• Design and execute user studies

• Analyze qualitative and quantitative data

Responsibilities:

• Develop quantitative trading models

• Implement complex algorithms

Experience Requirements:

• 6+ years experience

• 6–10+ years experience in growth or revenue-aligned marketing

• Experience managing $500k/m budget across channels

Other Requirements:

• US citizen/visa only

• Familiarity with Segment.com, Hyros, and Zapier

• Familiarity with ActiveCampaign and Close CRM

• Strong writing skills for emails, landing pages, and scripts

Responsibilities:

• Partner with CRO to translate company goals into marketing strategies

• Own marketing budget allocation and decision-making

• Oversee distribution strategy across YouTube, Meta, and LinkedIn

• Own email marketing strategy and lifecycle programs

• Create funnel pages, messaging frameworks, and ad scripts

Experience Requirements:

• 1+ years experience

• 2+ years of high ticket or B2B software sales experience

Other Requirements:

• US citizen/visa only

• Familiarity with strict call frameworks and CRM motions

• Ability to perform 100 outbound dials per day

Responsibilities:

• Participate in daily team sales syncs

• Handle 6 booked sales opportunities per day

• Pipeline management and followup within Close CRM

• Perform discovery motions and technical demos

Benefits:

• Competitive salary

• Performance-based bonuses

• Comprehensive health benefits

• Unlimited PTO

Experience Requirements:

• Some experience in customer success, account management, or similar

• Experience with CRM systems (GoHighLevel, Close.io, Hubspot)

• Experience building workflows with no-code automation (Zapier, Make)

Other Requirements:

• US citizen/visa only

• Proactive problem-solving mindset

• Exceptional communication and interpersonal skills

Responsibilities:

• Lead smooth and impactful onboarding experiences

• Design and execute strategies to minimize churn

• Cultivate trust through regular check-ins and feedback sessions

• Coordinate with internal teams to address customer requests

• Maintain a customer health dashboard and share insights

Experience Requirements:

• 3+ years experience

• 4+ years building and deploying full-stack applications in production

• Track record of shipping fast

• Strong system design skills

Other Requirements:

• US citizen/visa only

• Proficient in Next.js, Express, Node.js, and React

• Experience with Amazon Web Services (AWS)

• Experience with PostgreSQL

• Experience with TypeScript and GraphQL preferred

Responsibilities:

• Ship high-quality code across Node.js/Express backends and React frontends

• Build dynamic, high-performance React components using hooks

• Translate product ideas and customer feedback into scalable features

• Lead feature development across the Node.js, React, and PostgreSQL stack

• Own projects end-to-end from schema design to backend APIs

Benefits:

• Offers Equity

Experience Requirements:

• 5+ years of experience in communications, content strategy, or technical writing

• Outstanding writing and editing skills

• Ability to rapidly learn new domains like semiconductor hardware and thermodynamic computing

• Versatility to adapt writing style for different formats and audiences

• Meticulous eye for detail and commitment to accuracy

Other Requirements:

• Willingness to travel up to 25% of the time

Responsibilities:

• Create high-quality external content including blog posts and whitepapers

• Produce deep-dive technical narratives collaborating with engineers

• Prepare keynote speeches and slide decks for high-profile events

• Coordinate content for integrated marketing campaigns

• Review and edit written material to maintain unified voice and brand style

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

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:

• 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:

• 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

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

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

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:

• 401(k)

• +4 benefits

Benefits:

• Healthcare, dental, and optical insurance premiums covered

• Flexible personal & sick days

• Pension plan through SmartPension

• Annual education budget and L&D program

• Monthly reimbursement for wellness and home internet

Experience Requirements:

• 10+ years in Revenue/Sales Operations

• 4+ years in a senior leadership role in B2B SaaS

• Expert-level understanding of the Salesforce ecosystem

• Proven track record of hiring and mentoring high-performing Ops teams

Other Requirements:

• Deep expertise in SaaS metrics (LTV/CAC, Magic Number, NRR, GRR)

• Technical fluency in the Modern Data Stack

• Excellent communication and storytelling skills

Responsibilities:

• Lead the annual GTM planning process and capacity modeling

• Break down silos between Sales, Marketing, and Success

• Own the renewal forecast, churn analysis, and pipeline health metrics

• Oversee GTM stack architecture and AI agent implementation

• Partner with Sales leadership to increase rep productivity