Benefits:

• Treating teammates like adults

• Encourage side hustle

• Career development

• Learning about starting and growing a business

• Paid to learn

Experience Requirements:

• At least 3+ years of experience managing paid campaigns

• Experience in SaaS/tech space

• Management of $100K+/month budgets

• Deep understanding of the e-commerce funnel

• Analytical mindset with large data sets

Other Requirements:

• Foundational knowledge of digital marketing

• Ability to work collaboratively

• Strong written and verbal communication skills

Responsibilities:

• Managing paid marketing channels

• Monitoring and optimizing campaigns

• Creating performance reports for key metrics

• Testing new channels for growth

• Collaborating with content and design teams

Benefits:

• Flexible vacation with pay

• Seven paid holidays

• 160 hours of paid wellness annually

• Bereavement leave

• Time off to vote

Education Requirements:

• Bachelor's degree in a related discipline

• Master's degree

• Ph.D.

Experience Requirements:

• 10 years' related experience

• 5+ years' software engineering leadership experience

• Experience running geographically dispersed teams

Other Requirements:

• Strong technical foundation in architecture

• Experience leading large software modernization

• Excellent communication skills

• Ability to travel approximately 15%

• Clear a pre-employment drug test

Responsibilities:

• Lead, mentor, and develop engineering teams

• Drive engineering excellence

• Partner with cross-functional leaders

• Manage staffing and talent development

• Oversee budgeting and risk management

Benefits:

• Fair and competitive pay

• Bonuses

• Equity

Experience Requirements:

• Experience in consulting, banking, technology, or high-growth startup environments

• Proven track record building operations and processes from 0-1

• Strong project management experience with complex, multi-stakeholder initiatives

• 5+ years experience in a client-facing role working with enterprise accounts

• Advanced proficiency in Excel, Google Suite, and data analysis tools

Other Requirements:

• Experience with SQL, business intelligence tools, or automation platforms preferred

• Exceptional communication skills

• Ability to thrive in fast-paced, ambiguous environments

• Strong bias toward action with demonstrated ownership mentality

Responsibilities:

• Partner with Directors on client meetings, requirement scoping, and strategic solution design

• Serve as bridge between enterprise clients, global talent network, and internal delivery teams

• Design and implement scalable operational processes from 0-1

• Collaborate extensively with product and engineering teams on technical handoffs and automation

• Lead project delivery, performance analysis, and quality optimization across workflows

Benefits:

• Competitive compensation

• meaningful equity

• employer-paid benefits

• Flexible PTO

• access to the latest AI tools

Experience Requirements:

• 6–10+ years of experience in Product Marketing, Product Management, Solutions Consulting, or GTM roles

• Proven ability to translate complex products into clear, compelling narratives

• Experience working with enterprise SaaS, AI products, or complex B2B platforms

• Demonstrated success partnering closely with Sales and Product in fast-moving environments

• Comfort operating without a playbook

Other Requirements:

• Exceptional written and verbal communication

• High empathy for customers and internal stakeholders

• Strategic thinker with strong execution instincts

• Low-ego, highly collaborative, and comfortable with ambiguity

• Curious, opinionated, and energized by early-stage company building

Responsibilities:

• Define Circuit’s positioning, messaging, and category narrative across core buyer personas and industries

• Develop clear, compelling use-case narratives tied to real manufacturing workflows

• Partner with Sales to build sales enablement assets, talk tracks, and objection-handling frameworks

• Lead customer discovery to understand pain points, buying motivations, and language

• Shape product launches, roadmap communication, and feature narratives

Benefits:

• Generous PTO & Holiday Schedule

• Parental Leave

• Progressive Healthcare Options

• Retirement Programs

• Opportunity for Education Reimbursement

Education Requirements:

• Bachelor’s degree or equivalent

Experience Requirements:

• Self-starter mentality

• Experience in sourcing, contacting, educating, and qualifying prospects

Other Requirements:

• Role requires 50% travel

• Interpersonal, decision-making, and organizational skills

Responsibilities:

• Produce qualified meetings for Sales

• Achieve key metrics for sales growth

• Assist with research on companies for lead generation

• Build and maintain alignment with Sales and Marketing

• Ensure use and data integrity of Salesforce (CRM)

Benefits:

• Generous PTO & Holiday Schedule

• Parental Leave

• Progressive Healthcare Options

• Retirement Programs

• Opportunity for Education Reimbursement

Education Requirements:

• Bachelor’s degree or equivalent

Experience Requirements:

• Self-starter mentality

• Communication and social media skills

Other Requirements:

• Interpersonal, decision-making, and organizational skills

• Ability to acquire and maintain knowledge of the IAM market

Responsibilities:

• Produce qualified meetings for Sales

• Achieve key metrics for sales growth

• Assist with research on companies for lead generation

• Build and maintain alignment with Sales and Marketing

• Ensure data integrity of Salesforce (CRM)

Benefits:

• Flexibility to work anywhere in the US

• Flexible Vacation Policy

• 30+ paid holidays annually

• Meaningful stock options in Orum

• 90% coverage for healthcare, dental, and vision

Experience Requirements:

• Strong communication skills – written and verbal

• Comfortable speaking on the phone and engaging with people

• Quick learner with a curious mindset

• Basic tech proficiency (CRM tools, Google Workspace)

• Self-motivated and goal-oriented

Other Requirements:

• Must be a current U.S. citizen

• Must be currently residing in or near Austin, TX

• Team player who thrives in a collaborative environment

• Ability to manage time effectively

• Coachability and openness to feedback

Responsibilities:

• Prospect and Qualify Leads identifying prospects for Orum’s target market

• Generate Pipeline Opportunities to support sales teams

• Present Orum’s Value effectively communicating the value proposition

• Collaborate Across Teams ensuring smooth transition of qualified leads

• Make 150 dials per day (750 per week)

Benefits:

• Flexibility to work anywhere in the US

• Flexible Vacation Policy

• 30+ paid holidays annually

• Meaningful stock options in Orum

• 90% coverage for healthcare, dental, and vision

Experience Requirements:

• 6-12 months of experience in a b2b sales development, prospecting, or lead generation role

• Experience prospecting into Enterprise level companies

• Has been in a role where they have made 100+ calls a day

• Track record of consistently achieving quota

• Experience account mapping + working closely with an Account Executive

Other Requirements:

• Must be a current U.S. citizen

• Must be currently residing in or near Austin, TX

• Organized and has a great sense of time management

• Experience with Sales Technologies such as Salesforce, Outreach, ZoomInfo

• Previous Orum user (bonus)

Responsibilities:

• Prospect and Qualify Leads

• Generate Pipeline Opportunities

• Present Orum’s Value to potential customers

• Collaborate Across Teams with Account Executives

• Make 150 dials per day using Orum’s platform

Experience Requirements:

• 6 - 10 years leading 3 - 6 engineer pods in high-availability, high-frequency deploy shops

• Experience building and operating realtime/distributed systems (workflow engines, WebRTC/telephony, large fan-out queues)

Other Requirements:

• TypeScript/Node.js

• Python

• AWS

• Terraform

• Kubernetes

• OpenTelemetry

• SigNoz

Responsibilities:

• Technical direction across the stack - backend, frontend, and infra

• Team leadership: unblock engineers, set clear priorities, run lightweight design reviews

• System reliability: ensure platform stays fast, observable, and stable

• Hands-on delivery: contribute to key projects weekly

• Cross-functional glue: keep product and operations connected

Experience Requirements:

• Senior/staff experience running distributed backends with real-time/streaming constraints

• Shipped production LLM apps

• Understanding of prompt/tool design, evals, and guardrail instrumentation

Other Requirements:

• TypeScript/Node.js

• Python

• Temporal

• Redis

• PostgreSQL

• AWS

• Terraform

• Kubernetes

Responsibilities:

• Own core services in TypeScript/Node.js and Python

• Scale platform for 10K parallel calls with 99.99% uptime

• Harden pipelines for ingestion, evaluation, and analytics

• Level-up observability using OpenTelemetry/SigNoz

• Prototype, test, and ship new LLM-driven behaviors

Experience Requirements:

• 3+ years building customer-facing products in a high-velocity environment

Other Requirements:

• Fluent in TypeScript

• React/Next.js

• Node services

Responsibilities:

• Own product features end-to-end: spec, prototype, ship, iterate

• Work closely with customers to drive adoption and outcomes

• Build core customer workflows for voice-agent QA

• Turn messy, high-dimensional data into product experiences

• Maintain high engineering velocity while keeping craftsmanship

Experience Requirements:

• 3+ years of quota-carrying closing experience in B2B SaaS (mid-market and/or enterprise)

• Demonstrated ability to run complex sales cycles with technical stakeholders

Other Requirements:

• Knowledge of developer tools, infra, observability, testing, or AI platforms

• Familiarity with voice AI stacks (telephony/WebRTC, STT/TTS, LLM tool calling)

Responsibilities:

• Own revenue outcomes end-to-end: prospecting and closing deals

• Run full-cycle sales: pipeline creation, discovery, demos, and negotiation

• Lead multi-threaded sales cycles across engineering, product, and AI teams

• Translate technical product value into quantified business outcomes

• Drive structured evaluations and pilots

Experience Requirements:

• 1+ years in SDR/BDR, sales, recruiting, or another performance-based role

Other Requirements:

• Strong written communication

• High agency

• Operational discipline

Responsibilities:

• Own outbound pipeline generation across email, LinkedIn, calls, and events

• Research and prioritize target accounts in industries adopting voice agents

• Identify key stakeholders and map organizations

• Personalize outreach using technical and business context

• Qualify inbound leads quickly and route or convert them into meetings

Benefits:

• Competitive salary

• Meaningful equity package

Experience Requirements:

• 5+ years backend engineering (Python & TypeScript-first)

• Production experience in serverless

• Hands-on with generative AI (Claude/OpenAI or equivalent) in production

Other Requirements:

• Deep knowledge of AWS serverless (Lambda, DynamoDB, API Gateway)

• Strong AWS CDK or CloudFormation skills

• Proficiency with AI coding tools

• Ability to design multi-tenant, scalable systems

Responsibilities:

• Architect serverless microservices powering core APIs

• Develop advanced LLM features and context orchestration

• Design and optimize RAG pipelines using AWS Bedrock

• Define AWS CDK (TypeScript) IaC for all backend resources

• Maintain SOC 2 Type II and Google CASA compliance posture

Benefits:

• Competitive salary

• Meaningful equity package

Experience Requirements:

• 3-5+ years of professional software engineering experience

• Strong proficiency in React + TypeScript

Other Requirements:

• Experience building modern, component-based web applications

• Curiosity about browser extensions and/or Office Add-ins

• Experience with AI coding tools (e.g., Cursor, Claude Code)

• Excellent communication skills

Responsibilities:

• Build and enhance React-based front-end stack

• Implement reusable React components

• Create abstraction layers to maximize code reuse

• Iteratively improve UX based on customer feedback

• Implement automated UI testing

Other Requirements:

• Passion for building on the bleeding edge of technology

• Passion for helping businesses scale in different industries

Responsibilities:

• Pushing your business forward into the age of AI

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or Data Science

Experience Requirements:

• 5-7 years of experience in machine learning engineering

• Track record in production grade models in a regulated industry

Other Requirements:

• Expertise in GPT, BERT, and computer vision models

• Proficient in Python, TensorFlow, PyTorch

• Working knowledge of MLOps and LLMOps (mlflow, kubeflow)

Responsibilities:

• Fine-tune or prompt engineer LLMs for healthcare applications

• Develop vision-based models for medical document analysis

• Create classic NLP models for clinical documentation

• Ensure efficient model deployment and scalability

• Mentor junior engineers and data scientists

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Experience Requirements:

• 6+ years in Applied ML/DS/AI

• 2+ years leading multi-workstream ML programs or teams

Other Requirements:

• Working knowledge of modern ML/LLM tooling (Python, PyTorch/TensorFlow)

• Healthcare curiosity and comfort with privacy/safety compliance

• Strong program management fundamentals

Responsibilities:

• Own the multi-track plan for ML projects from scoping to delivery

• Run the operating rhythm: backlog, sprint planning, and stand-ups

• Align Product, Engineering, Clinical, and Customer teams around priorities

• Review designs, sanity-check experiments, and partner on MLOps best practices

• Mentor ML engineers and data scientists

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Experience Requirements:

• 3–6 years of experience in applied ML

• 1–2 years working with LLMs

Other Requirements:

• Strong Python skills

• Familiarity with ML/LLM frameworks (PyTorch, Transformers, LangChain)

• Comfort with embeddings and vector search

• Experience in healthcare or regulated environments

Responsibilities:

• Own and optimize pipelines combining classical ML and LLM systems

• Fine-tune and evaluate LLMs using open-source and proprietary data

• Collaborate with teams to build healthcare applications

• Implement retrieval strategies and prompt chaining

• Monitor model quality, latency, and safety