Novoguild specializes in helping promising technology startups ranging from the Seed stage to typically Series C find exceptional candidates in the US and India. We got started in 2021 by finding candidates for Silicon Valley startups in India. We started finding candidates for the same startups in the US in Q4 2022.

All our clients share our passion for innovation and excellence and are looking to build an organization with a great engineering culture. We share their passion for quality over quantity, that is why we take on the responsibility of extensive sourcing and rigorous screening. Finally, we present only the most qualified candidates via a comprehensive packet that includes answers to questions that the candidate has answered. It is not just a resume. All this saves our clients a ton of time. 

Our commitment to our candidates is just as strong. We provide a delightful experience, with no spam or mass mail, no ghosting, and a two-day response time.

Our best clients, for whom we achieve the best results, are very  knowledgeable about hiring and have already set up a good interviewing methodology. The founders work with us very closely and see us as their partners in the entrepreneurship journey. Some of them even have recruiters who source candidates from Linkedin, job portals and other sources. They choose to work with us for a variety of reasons ranging from the speed of hiring, time, value for money, to a desire for the best possible results, not just good enough results.

Wondering if you should talk to us?
- Are you looking for exceptional candidates who have the depth and breadth of skills you have in mind?
- Are you looking for candidates who have the will to be with you on the journey? 
- Is just good enough, not okay for you?
- Is the time of your own team extremely valuable and ideally you would not want to waste even a minute?
If you answered yes to all of the above questions, please reach out to us. We may be able to help you.

Novoguild

I founded Novoguild in early 2021 to help venture-funded startups hire outstanding software engineering and GTM talent in the US and India. 
Having no previous background in hiring and a beginner's mind, turned out to be a blessing in disguise. At Novoguild, we apply Lean manufacturing principles to hiring. This has shown great results for our clients in making their most critical hires such as founding engineers, the first Account Executive, the first Product Manager or Customer Success Manager . Typically, 1 in 4 hires is a rockstar. The risk of a bad hire is very low. Busy startup founders and their teams can make great hires without the stress and sweat of hiring. To my knowledge, we are perhaps the first organization to use Lean for hiring. 
We also partner with venture capitalists and help their portfolio companies succeed by helping with their hiring.

Chief Executive Officer

Glider AI Skills Validation Platform, Awarded Top 50 AI Software by G2 and SIA winner for most innovative HR technology, provides hiring solutions to help employers and staffing firms screen, assess, interview, and upskill talent.

Global brands like Intuit, Amazon, and Capital One trust Glider to ensure talent quality and fit across any role in any industry whether for full time or contingent staffing programs. 

On average, customers see a 3x placement rate, a 50% reduction in time-to-fill, and a 98% improvement in candidate satisfaction. For more information, visit Glider AI.

Glider AI

Customer Success

Setup UnitedProsperity.org – the world’s first person to person loan guaranteeing website. $1 in online microloan was converted to $2 in microloan to low income borrower in the developing world.
• Launched in India and Sri Lanka. 
• Raised more than $750,000 in in-kind support from several large organizations.
• Pioneer in crowdfunding, when the term as such did not exist.
• Featured in: Silicon Valley Mercury News, The Hindu (India), The Hindustan Times (India) and others.


CEO and Founder

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over three decades of experience in managing

Infosys

Successfully led multiple multi-year enterprisewide system development programs for Insurance customers.
Managed relationship with a key insurance client.

Associate Business Manager

A leading applied technology services company, we innovate to deliver service excellence and successful outcomes across sales, delivery and development. With our strategy to be agile, nimble and customer-centric, we anticipate the future of applied technology and predict tomorrow’s trends to keep our clients at the summit in an ever-changing marketplace. Leading with architecture and design, our next-gen solutions enable enterprises to accelerate on their digital transformation journey.
 
Customer centricity is foundational to us and is reflected in the Mphasis’ Front2Back™ (F2B) transformation approach.  F2B is a customer-in view approach that uses our industry-specific X2C2TM framework, and harnesses the power of cognitive technologies and rich data resident in enterprises to transform them. It is a way to introduce disruptive technology to smartly transform legacy environments. . Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients. Click here to know more
 
Mphasis Presents #HowGeekAreYou
Passion, Perseverance, Perfection – we are defined by these three words. Relentless in our pursuit of knowledge, we believe in accepting the difference and defining the 'new normal', staying true to our vision and values. We believe in growth by knowledge, responsibility by authority and freedom by flexibility. 

Be a part of a place where ideas are celebrated and perseverance is worshiped. Our doors are wide open, and breakthrough ideas are welcome from anyone. But we have a question to ask before we let you in: How Geek Are You?
Click here to know more.

Successful executed several projects for large financial institutions. 
Established MphasiS as a top partner with Citibank LATAM.
Initiated and managed partnerships with several software product companies.

Project Manager

Bhalchander (Bala) Vishwanath

Bala Vishwanath

Shishir Sonekar

G Jayendra Kartheek

Divyansh Jain

Sanyam Kamat

Swapnil Vaibhav

**Influencer Marketing**

Aspire is a leading provider of influencer marketing software and services for social commerce at scale. Since 2014, Aspire has helped brands build and manage relationships with millions of influencers, inspiring marketers to think bigger, plan smarter, and deliver outsized value. Brands and creators use Aspire to find and vet each other, activate influencer marketing campaigns of any size, and put the magic of branded content to work at scale. As a recognized leader by Forrester Research, Aspire has paid out over $100M to creators, and is trusted by over 800 top brands from fashion to fitness and everything in between.

Aspire

We're looking for an experienced product-driven developer that wants to help us build innovative solutions to support the ongoing success of great brands and their communities across the world. As a Senior Software Engineer, you’ll work closely with product managers, designers and fellow engineers as a technical leader for critical areas of our product and codebase. You can expect to lead large-scale features and projects on our web applications while working with an open and collaborative team. This role is only open to candidates based in India.

Senior Software Engineer (Full Stack) - India

URL:https://boards.greenhouse.io/aspireio/jobs/6951211002
The job you are looking for is no longer open.
Aspire
About Aspire

Aspire is the influencer marketing platform empowering ecommerce brands to build and cultivate influential communities of influencers, ambassadors, affiliates, customers, and more. Brands using Aspire can discover authentic partners, streamline relationships, scale their programs, and measure true business impact — regardless of where they are in their influencer marketing journey. 

Aspire is trusted by Glossier, Coola, Bombas, Newell, Ruggable, and over 400 additional customers. Investors include Hummer Winblad Venture Partners, Pear.vc, and more. For more information, visit www.aspire.io

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Sahil Goyal

Yenteh (Tommy) Liu

Murali Balusu

Shaneel Sharan

Problem: Globally, soils have the potential to sequester over 1 billion tons of carbon through regenerative agriculture practices and emerging solutions like biochar and enhanced rock weathering. However today, measurement, reporting, and verification of soil carbon sequestration is not cost effective, accurate, or scalable. This prevents large-scale climate finance from being deployed to rapidly scale soil carbon improvement despite its massive potential to combat climate change, improve food security, and alleviate extreme poverty. Terradot is building a global measurement, reporting, and verification (MRV) platform to accelerate high-integrity carbon removal and storage around the world. With Stanford’s Soil and Environmental Biogeochemistry Lab, we leverage technological innovation using ground truth sampling, remote sensing, and AI modeling to accurately and scalably measure soil carbon. For soil carbon project developers, Terradot decreases the time, cost, and complexity of MRV while increasing the integrity of the carbon removal credits for carbon buyers. This enables large-scale deployment of climate finance to incentivize the adoption of sustainable practices. We are focused on improving soil health in emerging economies to maximize global sequestration and community impact. We are a public-benefit corporation driven by passion and purpose in service to our planet, people, and prosperity.We have raised $58.2M in total funding from John Doerr, Sheryl Sandberg &amp; Tom Bernthal, George Roberts, Microsoft’s Climate Innovation Fund, Google, Cisco and Venture Funds, Floodgate, Kleiner Perkins, Acre Venture Partners, Gigascale Capital, Valor Capital, Ponderosa Ventures and others. We have sold ~300,000 tons in offtakes from leading CDR buyers like Frontier and Google.&nbsp;

Co-founder

Terradot

A global measurement, reporting, and verification (MRV) platform to accelerate high-integrity carbon removal and storage around the world. With Stanford’s Soil and Environmental Biogeochemistry Lab, we leverage technological innovation using ground truth sampling, remote sensing, and AI modeling to accurately and scalably measure soil carbon

The Tech Lead role will be a central figure in the development of our MRV technology platform. You will own the technology stack and have the opportunity to directly scale as well as grow and shape our engineering team as you see best fit. 

The successful candidate will be a proactive problem solver, experienced software generalist,  and a versatile leader capable of handling a diverse range of technical tasks and projects. This role is ideal for a self-starter, problem-solver who enjoys both directly building in a hands-on-role and shaping future technical vision.

Co-Founder & CPO

Tech Lead

Jeevan Beniwal

Nikhil Chavanke

Fondant is on a mission to democratize creativity by building tools that make design and creation as intuitive and ergonomic as sculpting cake (hence the name Fondant).

We are particularly targeting 3D workflows, which require users to learn complex tools with high barriers of entry in terms of both cost and required skillset. Generative AI will enable new tools that simplify the learning curve for creating digital and physical art.

Fondant

Building out and deploying AI multimodal image, video and 3D pipelines at Fondant

Founding AI Engineer

 **Founding AI Engineer**

**You will be:**

- fine-tuning, optimizing, deploying models to production
- replicating SOTA papers in image/video/3D generation
- writing lots of code for model deployment in production systems
- working primarily in Python

**Required**

- you can write good code
- you can learn quick
- you can read, understand and implement dense math-y papers
- you are familiar with basic tools - github, editors (vi, emacs, vscode etc. - we don’t care as long you’re productive), working with remote instances
- familiar with pytorch/tensorflow or any other ML framework

**A plus but not required**

- a background in ML/AI
- a background/experience with diffusion models
- a background/experience with image/video/3D generation space
- familiar with CI/CD and orchestration/deployment tools (Kubernetes, Docker etc.)
- familiar with AWS/GCP/Azure

Dylan Sanders

Mel H.

Working at the intersection of AI, cybersecurity, data, and national security.

Method Security

This individual should have experience going from zero to one with a new user interface, building out the initial UI and UX for the product. This ability to build out their own infrastructure and design the scaffolding for the application, while iterating with users, is top priority.

Current stack - Typescript, React.

Frontend Engineer

Arushi Vashist

Antoine Bargé

Everything we do at Cleanlab is guided by our north star – to improve the world’s ML data more easily and quicker than any other solution – enabling AI systems to train more reliably on real-world, messy, error-prone data. We develop next-generation data-centric AI, open-source algorithms and provide no-code SaaS enterprise solutions to help individuals and teams at companies (across all industries) diagnose/fix issues in their datasets and produce more reliable ML models by providing clean labels for training.While many companies can help store/manage data or develop ML models, there exist few solutions today to improve the quality of existing data, which is the core asset of the modern enterprise. This is where you come in. At Cleanlab, you’ll be able to take ownership of critical projects that pioneer the future of data-centric AI.We are a hybrid company, with over half of our team (and office) located in San Francisco.

Co-founder and Chief Scientist

Cleanlab

We're looking for strong software engineering skills and experience productionizing code/models in cloud environments while maintaining the necessary infrastructure. You should be comfortable with large software systems. Experience working in MLOps: processing data, deploying and monitoring models, cloud infrastructure (AWS), Big Data stack, etc.We do not require deep knowledge of ML algorithms, but you must have previously worked on many ML and Data projects at companies (across their full life-cycle, not say just in Jupyter).

Co-founder and CTO

MLOps Engineer

URL:https://cleanlab.ai/careers/ml-engineer/
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Senior ML Engineer

Location: San Francisco (flexible/hybrid)

At Cleanlab you’ll get to

Pioneer novel software systems for data-centric AI. Our tools enable data scientists/engineers (across all industries) to effectively diagnose/fix issues in their datasets, thus improving the quality of their business’s core asset.

Discover how to best leverage new Generative AI advances for tools that automatically find & fix issues in datasets. The north star of our company is to use AI to increase the value of Data.

Work with text, structured/tabular, image/video datasets from companies across diverse industries, and set up large-scale modeling infrastructure at a dynamic startup (0 to 1).

What we’re looking for

Strong software engineering skills and experience productionizing code/models in cloud environments while maintaining the necessary infrastructure. You should be comfortable with large software systems.

Experience in MLOps: processing data, deploying and monitoring models, setting up the necessary infrastructure for Data/AI projects.

Up to date on the latest advances in Generative AI (LLMs, LVMs)

Responsibilities
Spin up cloud infrastructure for ML projects spanning text, image, and structured/tabular datasets.
Work on large-scale Data/AI projects with Cleanlab enterprise customers, from inception to production.
Work as individual contributor tech lead on a ML team of around 5.
Innovate on new algorithmic techniques to improve a dataset, leveraging the newest Foundation model advances.
Qualifications

This is a senior role! Candidates must have at least 5+ years work experience in ML. Schoolwork or general data science work does not count, you should have tackled hard MLOps challenges at companies dealing with massive datasets, reliable model serving, cloud infrastructure, etc.

Python (pandas, scikit-learn, numpy, Jupyter)
PyTorch/PyTorch Lightning, Hugging Face
Relational databases
AWS
Docker
Git
CI/Testing, e.g. Jenkins

Bonus:

PhD in Machine Learning
Strong research publications or open-source contributions
Sagemaker, MLflow, Ray
ELT tools and data cleaning tools
Cleanlab or other data-centric AI tools
LangChain and LLMOps stack
Benefits

Working at Cleanlab is awesome! Beyond the opportunity to work at a well-funded AI startup with an incredible, friendly founding team of MIT graduates, all full-time employees receive the following:

Annual travel stipend
Travel enhances our empathy with different cultures and enables us to work together more effectively. It’s how we grow and learn: traveling is an essential part of what makes us human. At Cleanlab, every two months you will receive a reimbursable travel benefit. This is a unique benefit that lets you work from Paris for a week in February, then take a backpacking trip in the Andes for a weekend in March.
Premium health insurance (+ dental and vision)
We provide a fantastic $4 (we cover the rest) health insurance option. We also provide a $0 deductible 100% coverage premium health care option for those who prefer the best health insurance.
Stipend for attending conferences to keep up with the latest innovations in ML and software.
Competitive salary (+ equity offering for certain roles), with regular opportunities for a raise if things are going well.

The compensation range for this role is $180,000 to $220,000. The final offer details are determined by several factors including candidate experience/expertise and may vary from the pay range provided.

About Us

Prior to Cleanlab, our founders (3 ML PhDs from MIT) worked at OpenAI, Google, Microsoft, Amazon, AWS, Facebook AI Research (FAIR), Dropbox, Oculus, Palantir, NASA, General Electric, MIT Lincoln Laboratory, MIT, Harvard, and Stanford – at every place we worked we repeatedly encountered the same issue – AI solutions failed to work reliably on real-world, human-centric data due to label errors and poor data quality. So, we spent eight years of PhD research at MIT inventing a new field to solve this problem and after successful pilots with world-leading organizations, Cleanlab emerged.

Everything we do at Cleanlab is guided by our north star – to improve the world’s ML data more easily and quicker than any other solution – enabling AI systems to train more reliably on real-world, messy, error-prone data. We develop next-generation data-centric AI, open-source algorithms and provide no-code SaaS enterprise solutions to help individuals and teams at companies (across all industries) diagnose/fix issues in their datasets and produce more reliable ML models by providing clean labels for training.

While many companies can help store/manage data or develop ML models, there exist few solutions today to improve the quality of existing data, which is the core asset of the modern enterprise. This is where you come in. At Cleanlab, you’ll be able to take ownership of critical projects that pioneer the future of data-centric AI.

We are a hybrid company, with over half of our team (and office) located in San Francisco.

Read about the Cleanlab team here.
Read how Cleanlab went from MIT PhD research to tech used by Amazon, Google, etc here.
See what Google, Tencent, and other Cleanlab users think here.
How to Apply
Apply here: https://cleanlab.ai/apply
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Data and Tech Consulting
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Financial Services and Insurance
E-Commerce and Retail
Manufacturing and Agriculture
Healthcare

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Data Entry, Management, and Curation
Foundation and Large Language Models
Business Intelligence and Analytics
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We are willing to sponsor visas for the right candidate

We are a hybrid company, we need candidates who can be in office at least a couple days each week. Office is in Mission District of SF

Awdesh Sharma

Sailes envisions a world where technology creates the space for us all to be more human. Our mission is to help every sales team unlock potential and act on possibilities.

Today, we elevate the world’s leading sales executives with Sailebots that eliminate manual prospecting tasks in favor of high-value, high-return sales activities.

For the Fortune 500 and beyond, our unique Sailebots automate the entire prospecting lifecycle. This Digital LaborTM process helps companies triple their pipeline at a 5X cost reduction from manual prospecting.

Sailes

As a Staff Software Engineer at Sailes, you'll play a crucial role in revolutionizing sales through AI-driven solutions. Join our dynamic team dedicated to crafting cutting-edge applications, ensuring seamless user experiences, and addressing complex challenges. Your role involves taking ownership of features, breaking them down, and architecting solutions while leading the technical direction of the team.

Staff Software Engineer

Martin Gouy

Email products are not designed for humans and the way we work, yet the interface hasn’t changed in the 50 years it's been around. With recent advances in LLMs and consumer user experience design, we believe we finally have the tools to be able to change things.We’re Micro, a stealth-ish startup backed by a16z building a new kind of email experience powered by AI. This goes far beyond AI-generated summaries and responses in the same old Gmail UI that hasn’t changed in 20 years - we’re reimagining everything from the ground up.Our tiny team has built product at Google and founded venture backed startups funded by some of the best investors.

Founder

Micro

At Micro, we're building a new kind of email experience powered by AI. This goes far beyond AI-generated summaries and responses in the same old Gmail UI that hasn’t changed in 20 years - we’re reimagining everything from the ground up.We are looking for a passionate full-stack software engineer with 3+ years of experience to join our team in New York!

Founding Engineer

URL:https://usemicro.notion.site/Fullstack-AI-Engineer-d1ee5456a2494152bab67b9f692afa6d
Fullstack / AI Engineer
ALT
 Context
We’re a stealth-ish startup backed by a16z building a new kind of email experience powered by AI. This goes far beyond AI-generated summaries and responses in the same old Gmail UI that hasn’t changed in 20 years - we’re reimagining everything from the ground up. 
Our tiny team has built product at Google and founded venture backed startups funded by some of the best investors. We’re currently in NYC/remote but we will be focusing on more in-person coworking in NYC and SF as we grow.
We are looking for a passionate software engineer with 5-10 years of experience based in New York (or willing to relocate) to join our founding team.

This is a full stack role, but you will be focusing heavily on AI.
 Responsibilities
Build the backend and data processing for a web app that helps people stay on top of their email, utilizing the latest LLMs and adjacent technologies
Contribute to all other parts of the codebase, including the web app and backend (all javascript), as needed
Ensure product is performant and data is extremely accurate and clean
Work directly with the CEO/founder and other engineers to influence and execute the vision for the product
Define and implement product development processes and technical standards that push the team to create the highest quality product as fast as possible
 Qualifications
Strong knowledge of and experience with Node, AWS and other banckend tech.
Based in New York (or willing to relocate)
3-7 years of experience in startups, ideally a stint at a unicorn
Bachelor's or Master's degree in Computer Science or a related field
Love AI - maybe you’ve been hacking on side projects and hanging out in slack communities
Passionate - you throw yourself into your work, obsess over the details, and work nights and weekends for fun
Strong communication and collaboration skills
Bonus
Experience building email and/or other viral consumer apps 
Experience as an early eng team member growing a product from 0 to 1
Experience with Swift and React
Have managed other engineers
Have been a founder before
 Benefits
Ground floor opportunity - depending on the candidate, this role has strong potential to turn into a leadership position (even cofounder)
Technically challenging, cutting edge and intellectually stimulating product
Competitive compensation and benefits
Flexible work schedule
 How to apply
If this role sounds like a fit, shoot an email to brett@micro.co with any information that would help us learn more about you - resume, linkedin, github, twitter, whatever you like!

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