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Account Executive, Enterprise - SF Bay Area
Build tailored AI systems with high-performance open-source models and private deployment options for developers and enterprises seeking data sovereignty.
Benefits:
Competitive salary and equity
Healthcare: Medical/Dental/Vision
401K : 6% matching
PTO : 18 days
Transportation: Reimburse office parking or public transport
Education Requirements:
Bachelor's and/or Master's degree in Business, Computer Science, or a related field
Experience Requirements:
7-10 years of experience in enterprise sales
Deep understanding of the US market dynamics
Experience working at a successful, fast-growing startup
Other Requirements:
Excellent written and verbal communication in English
Strong technical skills
Outstanding negotiation and communication skills
Responsibilities:
Lead Development
Value Proposition Validation for Customers
Deal Management & Closing
Executive Engagement
Technical Aptitude
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Account Executive, Digital Native US
Build tailored AI systems with high-performance open-source models and private deployment options for developers and enterprises seeking data sovereignty.
Benefits:
Competitive salary and equity
Healthcare: Medical/Dental/Vision
401K : 6% matching
PTO : 18 days
Transportation: Reimburse office parking or public transport
Education Requirements:
Bachelor's degree in Business, Marketing, Information Technology, or a related field
Experience Requirements:
5+ years of experience in B2B sales
Work experience within the B2B tech ecosystem
Successful track record working in an early stage startup
Other Requirements:
Excellent negotiation, communication, and interpersonal skills
Ability to travel as needed
High integrity, low ego
Responsibilities:
New Accounts Acquisition
Account Expansion
Complex Solution Defining and Positioning
Executive Engagement & Alignment
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AI Artist
Transform long-form videos into viral social media shorts with AI-powered clipping, auto-reframing, and animated captions for creators and marketing teams.
Benefits:
Competitive salary
Stock options
Performance-based bonuses
Medical, dental, and vision plans
Equipment budget (5K monitor, MacBook)
Experience Requirements:
Strong prompting expertise with generative models
Expertise in product design, visual design, or motion graphics (preferred)
Other Requirements:
Refined visual taste
Systematic thinking
Passion for AI-powered storytelling
Responsibilities:
Refine AI-generated video assets, stories, and motion
Develop prompts and workflows to improve output quality
Translate design taste into scalable creative systems
Experiment with new AI tools and turn them into video experiences
Work closely with AI team to fine-tune video output quality
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Software Engineer, AI Video Agent
Transform long-form videos into viral social media shorts with AI-powered clipping, auto-reframing, and animated captions for creators and marketing teams.
Benefits:
Offers Equity
Bonus
Education Requirements:
Bachelor's degree or higher in Computer Science or a related field
Experience Requirements:
0-5 years of experience in software engineering
Strong entrepreneurial or hacker spirit
Experience in building AI agents (preferred)
Other Requirements:
Full-stack skills (React, NodeJS, Django)
Fast learner
Growth mindset
Willingness to hack with CTO on Sundays
Responsibilities:
Build next generation smart AI video maker using agent technology
Work closely with product and marketing to rush prototypes
Solve agent reliability problems using creative methods
Define your own work scope
Work on-site in Palo Alto office
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Senior Software Engineer, Video Agent
Transform long-form videos into viral social media shorts with AI-powered clipping, auto-reframing, and animated captions for creators and marketing teams.
Benefits:
Offers Equity
Bonus
Education Requirements:
Bachelor's degree or higher in Computer Science or a related field
Experience Requirements:
5-8 years of experience in software engineering
A strong entrepreneurial or hacker spirit
Experience in a rapidly growing startup
Experience building AI agents (preferred)
Other Requirements:
Full-stack skills (React, NodeJS, Django)
Fast learner and self-starter
Product and business sense
Open to periodic evening meetings
Responsibilities:
Build next generation smart AI video maker using agent technology
Work closely with product and marketing to rush prototypes
Solve agent reliability problems using creative methods
Define your own work within a team environment
Partner with senior engineers across Asia time zone
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Full Stack Engineer (Frontend)
Transform long-form videos into viral social media shorts with AI-powered clipping, auto-reframing, and animated captions for creators and marketing teams.
Benefits:
Offers Equity
Bonus
Education Requirements:
Bachelor's degree or higher in Computer Science or a related field
Experience Requirements:
3–6+ years of experience as a Full Stack Engineer
Strong frontend ownership
Deep experience with modern frontend frameworks (React, Next.js)
Solid backend experience (Node.js, Python, or similar)
Experience with building AI agents (preferred)
Other Requirements:
Typescript expertise
Web State Management Skills (jotai, redux, etc.)
Hacker spirit
Open to periodic evening meetings
Responsibilities:
Build next generation smart AI video maker
Work closely with product and marketing to rush prototypes
Solve agent reliability problems using creative methods
Define your own work within a team environment
Hacking with CTO on Sundays
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AI Engineer
Transform long-form videos into viral social media shorts with AI-powered clipping, auto-reframing, and animated captions for creators and marketing teams.
Benefits:
Equity
Bonus
Education Requirements:
Bachelor's degree or above in Computer Science or related fields
Experience Requirements:
3+ years of work experience in a Machine Learning Engineer or AI engineer role
Experience in Video Understanding / Computer Vision
Experience in LLM Fine-tuning / RAG Systems
Experience with Backend Systems for AI (FastAPI, Vector DBs)
Other Requirements:
Fluent in Python
Proficiency with Docker/Containerization
Understanding of distributed systems
Skilled in designing end-to-end LLM applications
Responsibilities:
Design and build scalable, low-latency AI inference microservices
Collaborate to build production pipelines for Video Understanding and LLMs
Ensure all code is modular, type-safe, and maintainable
Profile and optimize Python/C++ code and model inference layers
Conduct research on cutting-edge LLMs and refactor experimental code
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Principal Recruiter, Technical
Transform long-form videos into viral social media shorts with AI-powered clipping, auto-reframing, and animated captions for creators and marketing teams.
Benefits:
Equity
Discretionary bonuses
Incentives
Experience Requirements:
7+ years of technical recruiting experience
Proven track record of successfully hiring ICs to executives
Experience coaching recruiters and hiring managers
Proven success in fast-paced, high-growth startup environments
Experience recruiting for AI/ML or Infrastructure roles (preferred)
Other Requirements:
Strong analytical skills
Excellence in stakeholder management
Deep understanding of technical roles
Familiarity with Ashby and Juicebox
Responsibilities:
Execute end-to-end recruiting for technical roles
Develop innovative sourcing strategies to identify passive candidates
Partner with executive leadership to develop recruiting strategies
Design and deliver exceptional candidate experiences
Lead change management initiatives to evolve recruiting processes
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Full-Stack Engineer – AI Agent Platform (Fraud, Risk & AML)
Protect financial institutions from fraud and ensure compliance with real-time AI risk decisioning, behavioral biometrics, and automated underwriting workflows.
Benefits:
Competitive salary and equity packages, including a 401k
Remote-first culture — work from anywhere
100% Employer covered comprehensive health, dental, and vision insurance
Unlimited PTO policy
Regular team events and offsites
Experience Requirements:
4+ years of experience as a Full-Stack or Backend Engineer
Proven ability to take products from zero to one in fast-moving environments
Other Requirements:
Strong understanding of distributed systems, system design, and cloud-native architectures
Curiosity and hacker mentality
Bonus: Experience with AWS Bedrock
Bonus: Experience with LLM frameworks (LangGraph, Guardrails, LangChain, etc.)
Bonus: Background in financial risk or fraud detection systems
Responsibilities:
Design and build full-stack systems powering Oscilar’s next-gen AI agents
Implement serverless architectures using AWS Lambda and Python
Experiment with agentic frameworks, LLM-driven automation, and reasoning systems
Collaborate directly with founders and product leaders
Apply practical AI for data storytelling, graph reasoning, and case automation
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Enterprise Account Manager
Eliminate manual data entry and streamline document workflows with AI-powered OCR that converts unstructured files into actionable data for enterprise teams.
Benefits:
Hybrid role
Equity participation
Tailored resume builder tool
Experience Requirements:
3–5+ years of experience in Account Management, CS, or AE roles
Strong experience owning POCs, pilots, or trial-to-paid motions
Proven ability to upsell or expand accounts early
Other Requirements:
Comfortable running commercial conversations
Experience working with AI or API-driven products (nice to have)
Strong stakeholder management skills
Responsibilities:
Own a book of POC-stage and early-lifecycle customer accounts
Drive POC success and conversion to paid contracts
Identify and execute upsell opportunities (expanded use cases, volumes)
Partner with Solutions, Product, and Sales for expansion scope
Track and report on POC conversion rate and early expansion ARR
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Engagement Manager
Eliminate manual data entry and streamline document workflows with AI-powered OCR that converts unstructured files into actionable data for enterprise teams.
Benefits:
Hybrid role
Equity participation
Competitive salary
Experience Requirements:
3+ years of experience in stakeholder‑facing roles (Customer Success, Engagement Management, etc.)
Experience working cross‑functionally with product and engineering teams
Proven ability to manage multiple projects and customer relationships simultaneously
Other Requirements:
Strong verbal and written communication skills
Experience in SaaS, AI/ML, or workflow automation (nice to have)
Familiarity with writing PRDs or structured requirement documents (nice to have)
Responsibilities:
Own customer relationships post‑implementation and serve as the single point of contact
Build trusted relationships with customer stakeholders across technical and non‑technical teams
Translate customer requirements into clear documentation (PRDs, workflows, success criteria)
Partner with Product, Engineering, and Solutions teams to scope work and deliver against timelines
Identify opportunities to improve product adoption and workflow efficiency
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Product Marketing Manager
Eliminate manual data entry and streamline document workflows with AI-powered OCR that converts unstructured files into actionable data for enterprise teams.
Benefits:
Hybrid role
Equity participation
Competitive salary
Experience Requirements:
3+ years in product marketing (B2B SaaS preferred)
Strong ownership of website/landing pages and sales enablement
Other Requirements:
Excellent writing and editing ability
Strong taste for great messaging, proof, and narrative structure
Data-driven mindset
Responsibilities:
Create and continuously improve product/solution landing pages
Build and maintain sales decks, one-pagers, and battlecards
Own end-to-end webinar assets
Source, shape, and publish customer testimonials and case studies
Define positioning and messaging for key products and use cases
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Account Executive (Healthcare)
Eliminate manual data entry and streamline document workflows with AI-powered OCR that converts unstructured files into actionable data for enterprise teams.
Benefits:
Hybrid role
Tailored resume builder tool
Equity participation
Experience Requirements:
3+ years of sales experience in healthcare technology
Proven track record of building and closing pipelines
Experience running full-cycle deals
Other Requirements:
Ability to operate in ambiguity
Excellent communication and relationship-building skills
Knowledge of workflow-based pricing (nice to have)
Responsibilities:
Prospect and build a qualified pipeline of healthcare providers
Run discovery calls to understand customer goals
Coordinate with Sales Engineering to deliver tailored demos
Drive proof-of-concept (POC) contracts with customers
Partner with Implementation team to ensure POC success
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Enterprise Account Executive
Eliminate manual data entry and streamline document workflows with AI-powered OCR that converts unstructured files into actionable data for enterprise teams.
Benefits:
Hybrid role
Equity participation (ESOPs)
Commission-based variable pay (OTE)
Experience Requirements:
5+ years of experience as an Enterprise Account Executive
Proven track record of closing complex enterprise deals
Experience selling into mid-market and enterprise ($50k–$250k+ ACV)
Other Requirements:
Strong discovery, negotiation, and executive communication skills
Experience selling AI, automation, or workflow products (nice to have)
Responsibilities:
Own the full enterprise sales cycle end-to-end
Build and manage relationships with C-level executives
Run structured discovery to position AI solutions
Partner with Solutions Engineering and Product for deployments
Forecast accurately and meet/exceed revenue targets
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Frontend Engineer
Build and deploy models at scale with a collaborative cloud platform offering persistent GPU workspaces, zero-setup environments, and multi-cloud GPU access.
Benefits:
Medical, dental and vision
Life and AD&D insurance
Flexible paid time off
Paid family leave benefits
$500 monthly meal reimbursement
Experience Requirements:
Proficiency in React, javascript and typescript
Strong understanding of software engineering principles
Hands-on experience in a SaaS technology company
Proven ability to drive end-to-end development
Experience with Redux is a plus
Other Requirements:
Ability to operate in high uncertainty
Strong communication and collaboration skills
Responsibilities:
Write readable/testable/efficient code in React and Redux
Develop and scale UI and frontend infrastructure
Set technical direction for large frontend projects
Implement automation and drive continuous delivery
Mentor and coach engineers on system design
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Senior Manager, Field Marketing
Clockwork is a hardware-agnostic, software-driven fabric that accelerates enterprise AI by ensuring peak GPU utilization and continuous AI workload progress.
Benefits:
Challenging projects.
Competitive compensation.
A great benefits package.
A friendly and inclusive workplace culture.
Catered lunches.
Experience Requirements:
7+ years of experience in field marketing within B2B technology
Proven success scaling growth and executing high-performing event programs for recognized technology brands.
Deep expertise across virtual, hybrid, and in-person event management
Strong understanding of demand generation, audience engagement, and event ROI measurement.
Other Requirements:
A self-starter who can operate independently with little direction, but also thrives as a collaborative team player
Highly organized and adaptable
Strong brand sensibility
Willing to work onsite in Palo Alto, CA (2–3 days per week) and travel domestically ~4-5 times per year.
Responsibilities:
Lead and execute Clockwork’s field marketing strategy across in-person, virtual, and hybrid formats
Plan and deliver high-impact events that drive brand awareness, customer engagement, and measurable pipeline growth.
Collaborate closely with the Head of Marketing, Sales, and Executives to align event strategy with GTM priorities and revenue objectives.
Be hands-on and proactive — from vendor management and logistics to booth design, campaign coordination, and on-site execution.
Develop scalable event frameworks and playbooks to support Clockwork’s expansion into new markets and global audiences.
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HubSpot Marketing Operations Specialist or GTM Engineer
Clockwork is a hardware-agnostic, software-driven fabric that accelerates enterprise AI by ensuring peak GPU utilization and continuous AI workload progress.
Benefits:
Challenging projects.
A friendly and inclusive workplace culture.
Competitive compensation.
A great benefits package.
Catered lunch.
Experience Requirements:
2+ years of hands-on HubSpot power-user or admin experience
Other Requirements:
Expertise in lead lifecycle configuration, scoring, workflow automation, and campaign setup.
Strong experience building dashboards and reports for funnel metrics and campaign ROI.
Good working knowledge of Salesforce CRM and HubSpot → Salesforce integrations, and how HubSpot and SFDC integrate for full funnel lifecycle and opportunity management.
Experience supporting ABM motions (We use Clay ABM lists that integrate with Hubspot).
AI-forward experimentation mindset with a love of learning new ways of doing things
Responsibilities:
Build and maintain the full HubSpot lead lifecycle (MQL → SQL → Opportunity → Closed-Won).
Configure multi-channel HubSpot campaigns: events, webinars, paid/organic ads, email nurture, social campaigns, and ABM sequences with Hubspot CRM and Content Hub.
Build reports and dashboards that track full-funnel performance, campaign attribution, and revenue metrics.
Create workflows, scoring models, segmentation logic, custom fields, and data-quality processes.
Manage the HubSpot ↔ Salesforce sync: mappings, lifecycle logic, campaign influence, and data hygiene.
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Senior Full Stack Engineer
Clockwork is a hardware-agnostic, software-driven fabric that accelerates enterprise AI by ensuring peak GPU utilization and continuous AI workload progress.
Benefits:
Challenging projects.
A friendly and inclusive workplace culture.
Competitive compensation.
A great benefits package.
Catered lunch.
Education Requirements:
A degree in Computer Science, Electrical Engineering, or a related field.
Other Requirements:
Proficiency in both front-end and back-end programming languages such as TypeScript, HTML, Go, and Python.
Strong experience building custom data visualizations and interactive user interfaces.
Hands-on experience with front-end frameworks (e.g., Vue, React, or similar) and visualization libraries such as D3.js or SVG-based tools.
Excellent debugging, problem-solving, and collaboration skills.
Strong communication and attention to detail.
Responsibilities:
Work in a fast-paced environment that values innovation, diversity of talent, and technical excellence.
Collaborate closely with Clockwork engineering teams to design, prototype, and implement end-to-end web applications and interactive visualizations that simplify complex data for network engineers and enterprise clients.
Develop front-end interfaces using modern frameworks and back-end services that ensure performance, reliability, and scalability.
Write clean, efficient, and maintainable code across multiple languages and layers of the stack.
Continuously improve platform performance, usability, and design by staying current with modern technologies and development practices.
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Software Engineer - Distributed Training
Clockwork is a hardware-agnostic, software-driven fabric that accelerates enterprise AI by ensuring peak GPU utilization and continuous AI workload progress.
Benefits:
Challenging projects.
A friendly and inclusive workplace culture.
Competitive compensation.
A great benefits package.
Catered lunch
Experience Requirements:
Deep experience with PyTorch and torch.distributed (c10d)
Hands-on experience with at least one of: Megatron-LM, DeepSpeed, or FairScale
Proficiency in Python and Linux shell scripting
Experience with multi-node GPU clusters using Slurm, Kubernetes, or similar
Strong understanding of NCCL, collective communication, and GPU topology
Other Requirements:
Familiarity with debugging tools and techniques for distributed systems.
Experience scaling LLM training across 8+ GPUs and multiple nodes
Knowledge of tensor, pipeline, and data parallelism
Familiarity with containerized training environments (Docker, Singularity)
Exposure to HPC environments or cloud GPU infrastructure
Responsibilities:
Develop and support distributed PyTorch training jobs using torch.distributed / c10d
Integrate and maintain frameworks like Megatron-LM, DeepSpeed, and related LLM training stacks
Diagnose and resolve distributed training issues (e.g., NCCL hangs, OOM, checkpoint corruption)
Optimize performance across communication, I/O, and memory bottlenecks
Implement fault tolerance, checkpointing, and recovery mechanisms for long-running jobs
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Senior Software Engineer - HPC & Low-Level Systems
Clockwork is a hardware-agnostic, software-driven fabric that accelerates enterprise AI by ensuring peak GPU utilization and continuous AI workload progress.
Benefits:
Challenging projects.
Competitive compensation.
A great benefits package.
A friendly and inclusive workplace culture.
Catered lunches.
Experience Requirements:
At least 5 years of experience with C/C++ systems programming
Other Requirements:
Deep knowledge of Linux internals (e.g., system calls, memory management, kernel modules)
Strong foundation in concurrent programming and synchronization techniques
Strong understanding of the TCP/IP stack, socket programming, and low-latency networking (e.g., RDMA, DPDK, XDP)
Strong understanding of memory hierarchy, CPU caches, multi-core architectures, and GPUs
Strong skills in systems design, performance analysis, and low-level debugging
Responsibilities:
Lead/contribute directly to the design and build of high performance, reliable and scalable systems.
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