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Boost Vc Jobs (NOW HIRING)

... rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding ... close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep ...

... rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding ... close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep ...

... rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding ... close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep ...

... rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding ... close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep ...

... rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding ... close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep ...

ML Engineer Austin, Texas, United States About the Job Our client is a rapidly growing Tier 1 VC ... close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep ...

... rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding ... close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep ...

... rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding ... close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep ...

... rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding ... close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep ...

... rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding ... close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep ...

... rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding ... close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep ...

... rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding ... close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep ...

... rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding ... close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep ...

... rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding ... close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep ...

Manage ambassador perks, branded merchandise, and digital campaigns to boost engagement, loyalty ... Sustainable Growth We scale sustainably on a profitable, VC-backed foundation with true product ...

Manage ambassador perks, branded merchandise, and digital campaigns to boost engagement, loyalty ... Sustainable Growth We scale sustainably on a profitable, VC-backed foundation with true product ...

Head of Membership

New York, NY · On-site +1

$240K/yr

... and Boost Capital Partners - alongside Kevin Love, Kyle Kuzma, Kiernan Dewsbury-Hall, Koro Capital, Insiders VC, Antler, and other high-signal operators and family offices. * Achieved industry ...

Manage ambassador perks, branded merchandise, and digital campaigns to boost engagement, loyalty ... Sustainable Growth We scale sustainably on a profitable, VC-backed foundation with true product ...

Head of Membership

New York, NY · On-site

$240K/yr

... and Boost Capital Partners - alongside Kevin Love, Kyle Kuzma, Kiernan Dewsbury-Hall, Koro Capital, Insiders VC, Antler, and other high-signal operators and family offices. * Achieved industry ...

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Boost Vc information

See salary details

$81K

$140.3K

$197K

How much do boost vc jobs pay per year?

As of Jun 1, 2026, the average yearly pay for boost vc in the United States is $140,327.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,500.00 and $158,000.00 per year, depending on experience, location, and employer.

What is a Boost VC job?

A Boost VC job typically refers to a role at Boost VC, a venture capital firm that invests in startups focused on emerging technologies like crypto, AI, and VR. Jobs at Boost VC can range from investment analysts to operations and startup support roles. Employees help identify promising startups, support portfolio companies, and contribute to the startup ecosystem. Boost VC's mission is to accelerate the growth of innovative technologies by providing funding, mentorship, and guidance.

What are the key skills and qualifications needed to thrive in the Boost Vc position, and why are they important?

To thrive at Boost VC, a leading venture capital firm focused on early-stage startups, you need strong analytical skills, a deep understanding of emerging technologies, and experience in startup investment or entrepreneurship. Familiarity with industry-standard tools like CRMs, venture capital portfolio management systems, and platforms such as AngelList is often expected. Excellent networking, communication, and relationship-building skills are essential to connect with founders, co-investors, and industry partners. These abilities are crucial for making informed investment decisions and providing meaningful support to portfolio companies.

What kinds of companies or industries does Boost VC typically invest in, and how does this shape the day-to-day work of the team?

Boost VC specializes in investing in technology-driven startups, often in industries like blockchain, virtual reality, and frontier tech. As a team member, you'll be engaging with innovative founders and evaluating startups that are pushing the boundaries of what's possible. This focus means your daily work will include sourcing and reviewing pitches, staying current with tech trends, and actively supporting portfolio companies with resources and advice. The fast-paced, collaborative environment fosters continuous learning and the opportunity to take on multiple facets of the venture capital process.
What are the most commonly searched types of Boost Vc jobs? The most popular types of Boost Vc jobs are:
What states have the most Boost Vc jobs? States with the most job openings for Boost Vc jobs include:
Infographic showing various Boost Vc job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 99% Physical, and 1% Hybrid job distribution, with an average salary of $140,327 per year, or $67.5 per hour.

Other

Posted 7 days ago


Job description

ML Engineer

Charlotte, North Carolina, United States

About the Job

Our client is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-world conversations, providing full visibility into every customer interaction without the need for traditional ride-alongs.

By turning field conversations into searchable, actionable data, they empower teams to coach more effectively, close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep understanding of field sales dynamics, this company is redefining how businesses learn from and optimize their in-person customer experiences.

About Us

Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that's deeply embedded in our clients' recruitment operations.

We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems.

Location

New York, NY

Work Type

Full Time

Compensation

Above market base + bonus + equity

Roles & Responsibilities
  • Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle from conception to deployment and maintenance.
  • Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
  • Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
  • Build agents capable of operating natively on real-world audio inputs.
  • Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
  • Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
  • Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
  • Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
Qualifications
  • Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • 1-6 years of professional experience in ML engineering.
  • Strong programming skills in Python (TypeScript experience is a plus).
  • Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
  • Familiarity with cloud environments and infrastructure (preferably AWS).
  • Strong understanding of data pipeline design, real-time inference, and model monitoring.
  • Excellent communication skills with the ability to engage directly with customers and stakeholders.
Core Experience
  • Proven experience building and deploying ML models into production environments.
  • Demonstrated ability to own the full model lifecycle from data ingestion and model development to deployment and monitoring.
  • Experience with audio-focused ML projects or similar domains involving unstructured data.
  • Proficiency in building scalable data pipelines for model training and evaluation.
  • Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
  • Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.