Paraform is a marketplace connecting companies with open roles and recruiters who can fill them.

Companies can work with specialized recruiters more cheaply, monitor their performance, and flex based on demand. Recruiters don't have to worry about acquiring clients while earning and working on their own terms.

Incredible teams at the most exciting startups and enterprises are being built as a result.

Paraform

I am a specialized Technical Recruiter focusing on early and growth stage tech startups supported by renowned venture capital firms such as Sequoia, a16z, and Y Combinator. My expertise lies in connecting talented individuals with exceptional companies in the industry, ranging from Seed to Series D startups. I currently have some exciting job openings that I'm eager to share with you. If you or someone you know is interested in these opportunities, please don't hesitate to contact me.

Independent Startup Technical Recruiter

Looplogik

Talent Acquisition

Connecting talented professionals with businesses that need their skills, while providing personalized service and exceptional support to both clients and candidates.

• Bridging talented professionals with businesses Designed and implemented recruitment strategies for technical roles including Full Stack Engineers, Data Scientists, and Product Managers Utilized multiple methods such as LinkedIn, GitHub, and job boards to source, screen, and interview candidates Partnered with hiring managers to comprehend their specific needs and requirements for each role Negotiated salaries, start dates, and other employment terms with candidates Ensured a positive candidate experience throughout the entire recruitment process.

Talent Acquisition Entrepreneur

At GE Digital, our focus is clear: delivering software that accelerates a new era of energy. We deliver software that accelerates electrification and decarbonization across the energy ecosystem - from how

Meridium

As a Senior Technical Recruiter, I partnered with senior executives and hiring managers to fill leadership positions, developed relationships with hiring managers, and crafted effective search strategies. I provided strategic advice, conducted salary negotiations, and successfully closed deals. Utilizing a data-driven approach, I focused on pipeline development and conducted thorough assessments to identify exceptional candidates. Managing active requisitions, talent scouting, and diversity initiatives were also among my responsibilities. I demonstrated strong client management skills, formulated effective sourcing strategies, and efficiently handled high-volume recruiting. I provided valuable industry insights to guide hiring strategies and collaborated with HR to ensure compliance and best practices in compensation. Additionally, I leveraged my expertise in identifying potential issues and improving processes, while also overseeing internal databases and coordinating with immigration specialists for seamless onboarding of visa candidates.

• Partnered with senior executives and hiring managers on leadership roles Developed new relationships with hiring managers: defined search strategy and sourcing activities, salary negotiation, offers, and closing Data-driven approach to pipeline development, exceptional candidate assessment, and selection Led the recruiting for various client groups and diversity recruiting initiatives Successfully closed 3-5 offers each month Coordinated sourcing events and provided best sourcing/recruiting strategy Collaborated with HR to provide the best compensation, retention, and compliance guidelines.

Senior Talent Acquisition Partner- Human Resource

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement

Amazon

Technical Sourcer supporting Amazon's International Expansion Division, I focused on driving consumer growth and innovation by building agile local teams that closely collaborated with business leaders. I played a key role in developing a platform for faster and more efficient expansion. My responsibilities encompassed sourcing and recruiting top talent for technical positions such as SDE, SDET, TPM, and SDM. I successfully conducted daily tasks including candidate sourcing, recruitment, and database maintenance utilizing platforms such as ICIMS, Hire, MRT, Sorcerer, People's portal, and internal Amazon systems. I sourced candidates from popular job portals like LinkedIn, Indeed, Dice, and Monster, conducted screenings, prepared candidates for onsite interviews, and actively participated in pre-briefs and debriefs. Managing multiple requisitions concurrently, I maintained regular communication with hiring managers to ensure the achievement of hiring goals.

• Supported Amazon's International Expansion Division Responsible for sourcing and recruiting top talent for technical positions like SDE, SDET, TPM, and SDM Maintained Amazon's database and applicant tracking systems like ICIMS and Hire Conducted screening on general and technical aspects, prepared candidates for interviews Maintained multiple requisitions concurrently and interacted with hiring managers to accomplish hiring goals.

Technical Recruiter - Kindle and International Expansion

Kutir Corporation

I performed end-to-end IT recruiting, meeting urgent technical requirements and ensuring timely deliverables. I sourced candidates from job portals like Monster, Dice, Hotjobs, and CareerBuilder, utilizing Boolean searches for precise skill matching. Leveraging platforms such as LinkedIn, Twitter, Facebook, Craigslist, and conducting internet searches, I excelled in networking and sourcing. I screened candidates for technical proficiency across diverse IT roles, managed salary negotiations, and ensured completion of offer documentation. Additionally, I maintained strong client relationships, mentored junior recruiters, and successfully handled multiple job requirements simultaneously. Recognized as the Best Performer of the year in 2012 and 2013, I consistently delivered exceptional results.

Sr. Technical Recruiter

Usha Pradhan

Infrastructure/Systems Engineer: Design/optimize ML video processing infrastructure. Must have 2+ years in infra projects, Kubernetes, scaling, Go/Python/Rust. CS degree from top university. Passion for AI/video. On-site in SF/NYC; visa sponsorship available. Salary: $130K-$220K. Interest in early-stage startups and Sieve required.

Nipun C.

Crupanshu Udani

<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.sievedata.com/">Sieve</a> is an AI compute platform for video. Our goal is to build useful primitives to understand, manipulate, and create video so we can accelerate all applications of it.Today, video makes up over <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.socialpilot.co/blog/video-marketing-statistics">82% of internet traffic</a> and every application of it is growing extremely quickly — media, communications, VR, gaming, robotics, automotive, etc. TikTok went from 0 → 2B users in the last decade. Video conferencing is used many times a day by every knowledge worker. <a target="_blank" rel="noopener noreferrer nofollow" href="https://deepmind.google/technologies/veo/veo-2/">Google’s Veo 2 model</a> generates physically realistic video. Waymo now has <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.thedriverlessdigest.com/p/waymos-market-share-is-now-equal">more market share than Lyft</a> in SF ride share. Tesla is scaling humanoid robots.As these applications grow, the need to process video grows too. But unlike other data types, video is complex, and applications of it require purpose-built pipelines to tackle specific problems. Some examples:<ul><li>Translating videos with perfect voice timing + intonation and on-screen text manipulation</li><li>Tracking which person is actively speaking in a video</li><li>Collecting &amp; cleaning millions of highly emotive talk head video for foundation model training</li><li>Tracking eye gaze and exact emotion of people as they react</li><li>Separating the foreground and background of a high-motion video clip</li><li>Finding all the most interesting plays in a sports game recording</li></ul>At Sieve, we engineer production-grade pipelines to understand, manipulate, and create video — along with flexible abstractions to run custom pipelines. These pipelines already power core features in some of the most popular creative and social video platforms in the world, and are also helping research teams collect &amp; annotate large datasets to train better video models.Why developers use SieveThe unique complexity of video requires both R&amp;D and infrastructure that is intricate, expensive, and time-consuming to build in-house. Sieve comes with a set of production-grade pipelines engineering teams don’t need to worry about building or maintaining, along with infrastructure abstractions that make it easy to develop increasingly complex and specific video processing tasks on top.

Co-Founder, CEO

Sieve

Sieve is the AI developer platform for video. We build & manage production-grade pipelines that can understand, manipulate, and create it for a variety of applications. These pipelines serve as useful primitives which developers can then use to power their applications across industries like communications, social, media, robotics, and VR.

We're looking for a Infrastructure/Systems Engineer to join our team in SF or NYC. They'll design and engineer systems that handle the compute, scheduling, and orchestration of complex ML pipelines that need to run quickly, reliably, and cost-effectively on large sums of video.Sieve’s backend involves complex infrastructure working to deliver a simple, seamless experience for the customer. This person will spend their time improving the both the reliability and speed of our system, directly impacting the quality of life for our customers.We primarily code in Go, Python, and Rust, on top of Kubernetes. Additionally, we heavily utilize Redis, Prometheus, Loki, Grafana, MongoDB, Pulumi, and Clickhouse. Familiarity with these is not required, but certainly encouraged.

Infrastructure / Systems Engineer

About the role
Sieve’s backend involves complex infrastructure working to deliver a simple, seamless experience for the customer. You will spend your time improving the both the reliability and speed of our system, directly impacting the quality of life for our customers.

We primarily code in Go, Python, and Rust, on top of Kubernetes. Additionally, we heavily utilize Redis, Prometheus, Loki, Grafana, MongoDB, Pulumi, and Clickhouse. Familiarity with these is not required, but certainly encouraged. Some indicators of a good fit for this role include:

Interest in challenging infrastructure problems
Can intuitively prioritize feature development based on product impact
Great communication skills
Prior experience building production or open-source infra projects
Check out this page to learn more about the company and what it's like to work with us!

https://sievedata.com/about/jobs

About Sieve
Sieve is a specialized cloud built for video / audio AI.

Every video product today is being overwhelmed by a ton of new use cases that are enabled by AI. Video is unique in that it’s much more compute and data-intensive to process or generate compared to other modalities. This leads to a ton of complexity around the ways models are run, the kinds of extra processing needed to happen around them, and the complexity of pipelines that solve the most valuable use cases in the modality. To this end, Sieve’s strongest and most immediate value proposition comes from being an AI toolkit that solves problems unique to video — unlike generic AI developer tools that might exist today.

Video is just the start however. Learn more about our long term vision here!

Austin Walter

Himanshu G.

Galileo AI is a pioneering company that operates at the intersection of AI and design with a mission to revolutionize UI design in the age of generative AI. Our state-of-the-art AI enables the creation of interface designs from natural language, empowering people to design beyond their imagination.

Co-founder

Galileo AI

We're looking for an exceptional and enthusiastic full-stack engineer who loves to build new products from scratch and is skilled at creating dependable backend systems and APIs. In this role, you'll work closely with our team of engineers to integrate our AI technology on a large scale.

As a full-stack engineer on our team, you'll have the chance to learn from industry experts about machine learning. You'll get to build the entire inference stack and work on state-of-the-art AI technology that could change the software and design industry.

Software Engineer, Full Stack

We can offer h1b transfer for the right candidates

We're hiring candidates to come work with us on-site in SF! We can be flexible with this requirement if the candidate is truly exceptional

Infrastructure Engineer wanted. Focus on deployments, security. Strong GitHub, ex-technical founder or backend at startups. Intellectually curious, confident, hard-working. Entry-level at large tech company. Experience with serverless/cloud, secure deployment pipelines. Knows TypeScript, Python. On-site at Endex, visa sponsorship available. Salary $200K-$250K.

Akhil Pandey

Endex is on a mission to bridge the present to the inevitable by building the most sophisticated digital coworker for financial services (AI financial analyst function). We're recruiting a team to work on the frontier of agentic development and applied finance, in close collaboration with leading research labs. We just raised $50M round led by OpenAI.

Endex

As an Infrastructure Engineer you will focus on deployments and security, ensuring our systems operate w/ the reliability, scalability, and protection that investment firms demand. There's infra where we do self-hosting of some of our services inside large financial institutions - you'll be focused on figuring out how to scale that out.

Infrastructure Engineer 

AI Platform Engineer in San Francisco, CA. Hybrid work. No visa sponsorship. $160K-$260K. Need full-stack engineer with CS degree from top school or equivalent experience in high-growth startups. Must build & scale AI platforms, work with Node.js, TypeScript, PostgreSQL, cloud tech (AWS/GCP/Azure). Focus on AI-driven automation & integration. Not for bootcamp grads or strictly front/back-end devs.

Pallet is a company dedicated to disrupting the logistics industry providing end-to-end logistics visibility, control, and optimization. Our flagship product is a cartage Transportation Management System (TMS) designed to streamline business operations. We've eliminated data entry, integrated warehouse management, automated billing processes, and more. Our TMS and Warehouse Management System (WMS) offer the tools to enhance logistics operations, reduce costs, and improve customer satisfaction with faster and more reliable delivery times for carriers. Join us on our journey to transform the logistics industry and be a part of the future of business growth with Pallet.

Pallet

The Role: AI Platform EngineerAs an AI Agents Platform Engineer at Pallet, you will be at the forefront of developing intelligent, adaptable automation solutions for the logistics industry. Our AI-driven agentic workflows are designed to augment human capabilities, handling complex back-office tasks with high accuracy while integrating seamlessly into existing enterprise systems. You’ll provide the ideas, tools, and infrastructure for building and deploying scalable AI solutions built atop opensourced AI frameworks.You will be working with a small, high-impact team of engineers and operators to build AI agents that automate workflows such as document processing, customer portal updates, and voice-based interactions. This is an opportunity to make a direct impact on a rapidly growing product with significant industry traction.What You’ll be Working On<ul><li>Building platforms &amp; developing AI workflows; Accessing OpenAI and Langchain to build code and solutions for Pallet's customers &amp; intelligence agents</li><li>Implementing &amp; scaling platforms; Seamlessly integrating &amp; scale the platform with logistics systems to reduce latency, scale DAU/MAU</li><li>Seamless customer integration; Integrating robust APIs, data pipelines, and infrastructure that facilitate AI-driven automation across high-volume logistics workflows</li><li>Architect and optimize cloud-based infrastructure; ensuring high availability, performance, and security for AI agents and customers alike</li></ul>

AI Platform Engineer

Forward Deployed Software Engineer in NYC, hybrid. Strong coder with proficiency in Python, Java, C++, etc. Must have CS degree from top program. Solve tech problems with data, work directly with customers. Travel up to 25%. Salary: $135K-$200K. Visa sponsorship available.

At Palantir (NYSE: PLTR), we're helping the world's most important institutions use their data to solve their most urgent problems. Our software lets our customers integrate and analyze all of their data so they can answer questions that they couldn't before. From delivering disaster relief to building safer automobiles, we're honored to help make our partners better at their most important work. Together with our customers, we're building the future of national security, healthcare, energy, finance, manufacturing, and more. And we need bright minds from around the world to help us.

Palantir

Forward Deployed Software Engineers (FDSEs) work directly with customers to quickly understand their greatest problems and design and implement solutions using data. In this role, you’ll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions globally!FDSEs responsibilities look similar to those of a startup CTO: you’ll work in small teams and own end-to-end execution of high stakes projects. A day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing strategy for your team.Do you aspire to be an entrepreneur or an engineering leader? If yes, we believe Palantir is the best place — with the best colleagues — to learn how!

Forward Deployed Software Engineer, Utilities

Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.

Alan Chang

Loyalist is reimagining how guests engage with their favorite restaurants.

We believe that restaurants are places of belonging and connection. Our technology platform enables restaurants to create, market, and manage a best-in-class loyalty program to make their most valuable guests feel like a friend of the chef. Guests can join a program on the Loyalist marketplace that gives them behind the scenes access, unique perks, and special experiences.

Founder

Loyalist

As a software engineer, you will have the opportunity to leverage modern frameworks to collaboratively build our core product. This is an exciting opportunity to make key architectural decisions and help define the future of the restaurant digital landscape. We're looking for engineers with a strong background in full stack web development, a passion for technical vision, and an appetite for innovation. Passion for restaurants and hospitality is a plus!

Founding Engineer

We're only considering US based candidates

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