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Forward Deployed ML Engineer
Modal is an AI infrastructure platform offering sub-second cold starts, instant autoscaling, and a local-like developer experience for running inference, training, and batch jobs.
Experience Requirements:
At least a few years of professional ML engineering experience (or solutions engineering or similar)
Clear communicator who can make complex ideas easy to understand
Solid business sense and ability to build trust and strong working relationships
Other Requirements:
Willing to work in-person
Responsibilities:
Help our customers architect and build complex AI applications on Modal
Work with companies developing some of the most cutting edge AI use cases in the world, such as Lovable, Suno and Mistral AI
Optimize performance for open-source models and frameworks
Write examples and build demos that showcase Modal
Contribute to the core Modal stack
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Forward Deployed ML Engineer - AI Coding Agents
Modal is an AI infrastructure platform offering sub-second cold starts, instant autoscaling, and a local-like developer experience for running inference, training, and batch jobs.
Experience Requirements:
At least a few years of professional software engineering experience (or solutions engineering or similar)
Solid understanding of networking, containers, cloud technology etc.
Clear communicator who can make complex ideas easy to understand
Solid business sense and ability to build trust and strong working relationships
Other Requirements:
Willing to work in-person in Stockholm
Responsibilities:
Help our customers architect and build complex applications on Modal, with an emphasis on AI coding agent use cases powered by our Sandbox product.
Work with companies developing some of the most cutting edge AI use cases in the world, such as Lovable, Suno and Mistral AI.
Write examples and build demos that showcase Modal
Contribute to the core Modal stack
Help our community build cool stuff on top of Modal
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Member of Technical Staff - ML Performance
Modal is an AI infrastructure platform offering sub-second cold starts, instant autoscaling, and a local-like developer experience for running inference, training, and batch jobs.
Experience Requirements:
5+ years of experience writing high-quality, high-performance code.
Experience working with torch, high-level ML frameworks, and inference engines (vLLM or TensorRT).
Familiarity with Nvidia GPU architecture and CUDA.
Experience with ML performance engineering (tell us a story about boosting GPU performance — debugging SM occupancy issues, rewriting an algorithm to be compute-bound, eliminating host overhead, etc)
Other Requirements:
Nice-to-have: familiarity with low-level operating system foundations (Linux kernel, file systems, containers, etc).
Ability to work in-person, in our NYC, San Francisco or Stockholm office.
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Member of Technical Staff - Python SDK
Modal is an AI infrastructure platform offering sub-second cold starts, instant autoscaling, and a local-like developer experience for running inference, training, and batch jobs.
Experience Requirements:
5+ years of experience developing high-quality Python libraries with broad user-bases, ideally including some experience maintaining open-source software.
Knowledge of advanced Python features, especially async programming.
A strong product sense that manifests as a focus on developer ergonomics and productivity.
A high level of customer empathy, good communication skills, and an openness to working directly with our users to help solve their problems.
Other Requirements:
Ability to work in-person in our NYC or Stockholm office.
Familiarity with modern data / ML / AI tools and workflows
Experience with Typescript, Go, or Rust
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AI Deployment Engineer
Bland is the world's fastest conversational Voice AI, enabling enterprises to automate customer support, sales, and more with custom-trained, secure agents.
Benefits:
Offers Equity
Offers Bonus
Healthcare
dental
vision
Experience Requirements:
1–5 years of experience in full-stack, AI, or solutions engineering roles where you owned builds from concept to production
Proven experience building and integrating AI or automation features into real-world applications
Hands-on experience integrating LLMs or AI SDKs into web applications
Strong comfort working with REST/JSON, scripting languages (Python or JavaScript), and modern dev tools (Git, NPM/PNPM)
Track record of ownership and grit
Other Requirements:
Exceptional new grads with strong ownership and ambition are welcome to apply
Responsibilities:
Design and deploy AI solutions.
Prototype fast, iterate faster.
Collaborate deeply.
Own end-to-end delivery.
Drive adoption and expansion.
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AI Deployment Engineer (Pre-sales to post-sales)
Bland is the world's fastest conversational Voice AI, enabling enterprises to automate customer support, sales, and more with custom-trained, secure agents.
Benefits:
Offers Equity
Offers Bonus
Healthcare
dental
vision
Experience Requirements:
3-7 yrs in solutions engineering, product-minded software engineering, founding a startup, or any role that proves you can own a customer-facing build from zero to production
Comfortable reading & writing REST/JSON; able to sling quick Python or JS scripts to glue systems together
Track record of relentless ownership
Clear communicator who can translate LLM quirks
Ready for the intensity of a fast-growing, early-stage startup
Other Requirements:
Exceptional new grads with strong ownership and ambition are welcome to apply
Responsibilities:
Presales partner.
Own implementation start-to-finish.
Coordinate stakeholders.
Move fast and iterate.
Expand the footprint.
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Senior Engineer
Bland is the world's fastest conversational Voice AI, enabling enterprises to automate customer support, sales, and more with custom-trained, secure agents.
Benefits:
Offers Equity
Offers Bonus
Experience Requirements:
5+ years of software engineering experience, ideally full stack
Designed and built software from 0-1, and 1-2
Experience working at a quickly growing start-up
2+ years of experience working on AI applications
Experience with telephony systems, VoIP, or WebRTC
Responsibilities:
Architect and Build Core Systems
Lead Technical Integrations
Optimize Machine Learning Pipelines
Drive Engineering Excellence
Support Customer Deployments
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Senior Infrastructure Engineer
Bland is the world's fastest conversational Voice AI, enabling enterprises to automate customer support, sales, and more with custom-trained, secure agents.
Benefits:
Offers Equity
Offers Bonus
Healthcare
dental
vision
Experience Requirements:
5+ years building and scaling distributed systems, with deep knowledge of cloud infrastructure (AWS/GCP preferred)
Experience with real-time systems (high-throughput, low-latency workloads, streaming, real-time processing)
Experience working at fast-growing companies where you wear multiple hats and solve problems as they come up
Familiarity with tools/components like: Cloudflare, HAProxy, Go, TypeScript, Datadog, Terraform, Docker, Kubernetes, Nvidia Hardware (nvlink for example)
Experience with telephony systems (SIP, VOIP, WebRTC)
Other Requirements:
You’re opinionated, but you’re not alienating
Responsibilities:
Contribute to the designing of scalable architecture
Build and Support ML infrastructure
Integrate with telephony
Recognize Flaws, Control for them
Ensure reliability
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Business Development Representative
Bland is the world's fastest conversational Voice AI, enabling enterprises to automate customer support, sales, and more with custom-trained, secure agents.
Benefits:
Healthcare
dental
vision
Meaningful equity in a fast-growing company
Every tool you need to succeed
Education Requirements:
Bachelor's degree preferred
Experience Requirements:
Preferably 1+ year of SaaS BDR experience
Startup experience is a plus, especially in Enterprise SaaS
Comfortable understanding and communicating around complex technical problems
Experience in business development and customer relationship management
Comfortable with cold outreach (calls, emails, LinkedIn, etc.)
Other Requirements:
High level of agency—able to figure things out, build new processes, and just get it done
Responsibilities:
Driving pipeline and growing net-new business.
Actively prospect, qualify, and pass meetings to our AEs to move deals forward.
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Skillbridge - New Product Introduction Engineer Internship
Spot AI transforms existing cameras into intelligent agents, offering enhanced security and optimizing physical operations to drive measurable outcomes for businesses.
Experience Requirements:
active-duty military personnel who are approved by their Chain of Command to participate in the DoD Skillbridge program.
This is a Department of Defense (DoD) SkillBridge internship opportunity designed for junior military officers (O1–O3 or equivalent) interested in operations and program management.
all service members with honorable service and at least 180 days of continuous Active Duty.
Participation must occur during the final 180 days of service and be completed before separation.
Other Requirements:
This position is exclusively available for active-duty military personnel who are approved by their Chain of Command to participate in the DoD Skillbridge program.
This is not a remote position. Candidates must be able to work onsite from our downtown San Francisco OR Hayward, CA office.
Responsibilities:
Lead and coordinate the end-to-end introduction of new hardware and software products
Work in internal cross-functional teams (engineering, manufacturing, supply chain, quality) and external manufacturing partners
Develop detailed project plans, manage schedules, and proactively identify and mitigate operational risks.
Facilitate effective communication among stakeholders, providing regular updates and resolving roadblocks.
Oversee prototype builds, validation, and testing, ensuring quality and timely delivery.
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Sales Engineer
Wand is the only platform for management, execution, and creation of AI agents as trusted members of your workforce.
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience
Experience Requirements:
7+ years in enterprise/B2B Sales Engineering, Solutions Architecture, or Technical Consulting, with at least 2 years in a leadership, principal or founding capacity
Experience leading consultative solution cycles (e.g., custom integrations, professional services, or enterprise prototypes). Experience translating unstructured customer goals into working demos and technical success criteria
Demonstrated experience leading strategic POCs, RFPs, or enterprise onboarding
Deep understanding of AI/ML systems and integration patterns. Proficiency in Python, interacting with APIs, and agent orchestration
Ability to communicate compellingly in both technical deep-dives and executive-level storytelling situations
Other Requirements:
Track record of building scalable demo systems, reusable solution assets, and pre-sales processes
Responsibilities:
Lead technical pre-sales engagements
Design and deliver lightweight, believable prototypes that prove Wand’s unique capabilities
Own the “Proof-to-Contract” motion
Act as a consultative discovery partner
Build reusable demo systems and technical frameworks
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Process Engineer
Molecular Universe is an AI-enhanced platform that accelerates battery material discovery from years to minutes, mapping a vast universe of small molecules.
Education Requirements:
Bachelor’s degree, major in mechatronics, electronics, electrical, process design
Experience Requirements:
At least 2 years working experience in PACK assembly or lithium battery industry
Other Requirements:
Good at analyzing and solving problems, have good communication and coordination skills
Familiar with IATF1649 quality management system
Proficient in Office, AUTOCAD and other software
Have a certain ability to work under pressure, have a strong sense of team spirit and cooperation
Responsibilities:
Responsible for process support, process verification and optimization and promotion of process problems in the design and development phase of PACK project
Responsible for preparing product process documents (PFMEA, process flow chart, control plan, WI, etc.), proficient in PACK production process and key process control points
Provided technical support for production, formulated standard operation instructions for each process, and solved technical problems in the production process
In-depth technical exchanges on the production site, providing guidance for key parts and processes
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Senior Software Developer
Smartex is an AI-powered system for modern textile factories, enhancing quality, increasing productivity, and boosting sustainability through automated inspection and digital operations.
Experience Requirements:
Experience in the textile industry
Experience collaborating with distributors or third-party entities
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Finance Lead
Nanonets is an AI-driven platform that automates document processing and data extraction workflows, helping businesses streamline operations and eliminate manual tasks.
Education Requirements:
CA qualification
Experience Requirements:
2 - 4 years of professional experience
Experience working at a top-tier startup - SaaS experience would be a bonus
Other Requirements:
Strong knowledge of US GAAP and Indian Accounting Standards
Willingness to get your hands dirty
Ability to work in a fast-paced and ambiguous environment
Effective communication and interpersonal skills
Responsibilities:
Ensure timely month-end closure of Books of Accounts
Oversee all aspects of accounting, including financial reporting, accounts payable and receivable, and general ledger
Drive budgeting and forecasting process, monitor, and analyze financial performance against goals, and provide recommendations for improvement
Provide financial insights to help management in decision making
Manage treasury, cash flow, and working capital
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Demand Generation
Nanonets is an AI-driven platform that automates document processing and data extraction workflows, helping businesses streamline operations and eliminate manual tasks.
Experience Requirements:
4–5 years of experience in demand generation, growth marketing, or performance marketing (B2B SaaS preferred)
Proven track record of building and executing multi-channel demand generation campaigns (paid, organic, events, ABM, webinars, etc.)
Strong experience with marketing automation tools (e.g., HubSpot, Marketo, Salesforce, or similar)
Ability to generate and optimize a consistent pipeline of high-quality leads for sales
Skilled at analyzing funnel performance, running A/B experiments, and scaling channels that deliver ROI
Other Requirements:
Strong collaboration skills—able to work closely with sales, product, and content teams to align on pipeline goals
Excellent communication skills, with the ability to clearly articulate campaign strategy, performance, and insights
Responsibilities:
Own demand generation strategy and execution across paid, organic, events, webinars, direct mail, and more
Build full-funnel programs—from landing pages and nurture flows to demo hand-offs—that drive conversion at every stage
Launch rapid experiments to test new channels, offers, and segments and scale what works
Collaborate with content and lifecycle marketing to ensure a cohesive buyer journey across every touchpoint
Work closely with sales motion to align on ICP, lead quality, and follow-up strategy
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Growth - Content
Nanonets is an AI-driven platform that automates document processing and data extraction workflows, helping businesses streamline operations and eliminate manual tasks.
Education Requirements:
Bachelor’s degree from reputable college
Experience Requirements:
1–4 years of experience in Growth, Business Analysis, Consulting, Startups, or Marketing firms.
Other Requirements:
Comfortable to work with AI tools for content creation, analysis, and experimentation
Strong problem-solving and analytical skills with a bias for fast execution
Strong interpersonal skills to build rapport, influence stakeholders, and manage relationships
Demonstrated excellence outside academics (sports, arts, publications, leadership roles) with at least one standout achievement is a plus
Responsibilities:
Identify and categorize content types (written, video, audio, visual) aligned with business objectives
Collaborate with Sales and Product teams to define relevant, high-impact content themes
Create clear, engaging, and channel-appropriate content
Manage end-to-end publishing to ensure timely and optimized distribution
Design and execute rapid marketing experiments across content formats
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Member of Technical Staff
Listen Labs is an AI-first research platform that conducts interviews, analyzes responses, and delivers actionable insights for customer understanding in hours.
Benefits:
Offers Equity
Other Requirements:
Based in the Bay Area or willing to re-locate
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Senior Data Engineer
Productboard is the intelligent product management platform that helps product teams deliver exceptional products with clarity and confidence.
Benefits:
Stock options
MacBook + 34″ Monitor
Budget for online courses, books, and conferences
5 weeks of vacation + 9 sick days
1 Volunteer Day per year for you to help causes close to your heart
Education Requirements:
Bachelors or above in quantitative field
Experience Requirements:
5+ years of experience in developing, and maintaining robust data models from structured and unstructured sources
5+ years of experience writing accurate and effective code in SQL (Python is a plus)
Experience with modern data storage and processing technologies (i.e, Snowflake, Looker, Airflow, and dbt or similar)
Experience proactively identifying opportunities to improve ETL & dashboard performance and cost
Experience leveraging your excellent communication skills to thrive in ambiguous environments where problems are not well-defined and evolve quickly
Other Requirements:
A desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord
Last but not least - a collaborative attitude and a healthy dose of natural curiosity!
Responsibilities:
Collaborate with Product, Engineering, GTM, and Data Analysts to build and scale a world-class data infrastructure
Design, develop, and own core data models and pipelines that power analytics and drive product insights
Work cross-functionally with Product Management, Engineering, Finance, and IT to unlock opportunities and improve internal systems
Partner with Compliance, IT, and Engineering teams to ensure we meet data governance and privacy standards
Solve complex, often unstructured data challenges with creative and scalable solutions
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SOFTWARE ENGINEER/SENIOR SOFTWARE ENGINEER
Kore.ai is an enterprise AI platform that provides AI solutions for work, service, and process, enabling businesses to deploy and orchestrate AI agents.
Education Requirements:
Graduate in Engineering OR Master's in Computer Application
Experience Requirements:
Minimum 2-5 plus years of solid development experience
Should have worked on open source Platforms
Other Requirements:
Skillset should have few of the following Node.js, jQuery, Backbone, Underscore, Redis / CouchDB / MongoDB, Web Sockets
Knowledge on Linux / Unix flavours
Candidate must have hands-on experience in server-side programming, independent of technology
Strong knowledge of code documentation and handover
Experience with the git version control system
Experience in open source contribution
Responsibilities:
Analyzing business requirements
Interacting with different business teams
Being a part of the solution design process
Developing server APIs/components
Being a part of scaling applications and database infrastructure processes
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Construction Engineer
Avataar is an AI-native platform offering domain-specialized AI agents that drive enterprise-grade cost efficiency, operational turnaround, and unlock valuation multiples.
Experience Requirements:
Commercial construction experience, preferably for 5 years or more.
Other Requirements:
Excellent communication and project management skills.
Full fluency in industry-specific engineering software.
Ability to work as part of a flexible and adaptable team.
Responsibilities:
You will monitor the whole construction cycle and ensure that firstly, the construction modeling is done to the highest standards.
Secondly, you identify potential risks associated with particular architectural features and carry out a detailed assessment of the desired design functions and their real-life implications.
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