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Salary
$50k – $79k per year
Location
Hybrid (Toronto, Canada)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 6, 2026. First seen by Alion on Nov 4, 2026. Mecka scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Mecka is a data infrastructure company based in New York that captures, labels and evaluates real-world human activity data used to train and test robotics and embodied AI systems. It designs and operates global data capture programs, wearable and tactile hardware and an egocentric data ecosystem called Egoverse for AI labs and robotics companies, and has raised a 60 million dollar Series B round, with teams in New York, Toronto and San Francisco. It hires hardware, firmware, mechanical and mobile software engineers, computer vision and multimodal research scientists, partnerships and operations staff and finance, tax and legal specialists.

About Mecka AI

Mecka AI is building the data infrastructure layer for robotics and embodied AI.

We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.

We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.

We also put robots to work. Through our Robots-as-a-Service model, we deploy robots into real businesses, closing the loop between real-world data and deployed hardware. We're backed by NVIDIA, Sequoia, and others.

The role

We're hiring Sales Development Representatives to own the top of our funnel. This is a hybrid role based in Toronto, reporting to our GTM Lead. You'll split your time across two motions:

  • Data partnerships (70%). Qualify inbound data partnership opportunities and go outbound to find new ones.

  • Robotics deployment (30%). Go outbound to find businesses that should be running robots through our Robots-as-a-Service model.

Your job is to create and qualify pipeline, then hand it off. You won't negotiate or close contracts. You'll be the first conversation every great deal starts with.

Note: Please cold call Max Woo at 647-528-8799 for an interview

What you'll do

  • Respond to and qualify inbound data partnership leads quickly: is the data useful, who decides, and is there a real reason to partner?

  • Cold call, email, and LinkedIn your way into conversations with operators and decision-makers, from life sciences and manufacturing companies sitting on valuable data to businesses ready to deploy robots.

  • Research and build target account lists, and find the right people inside them.

  • Run first-touch discovery calls and book qualified meetings.

  • Hand off qualified opportunities with clean notes on the business, the buyer, and the need.

  • Keep your CRM clean and your activity honest.

  • Share what's working (and what isn't) to help build the playbook as we scale.

What you bring

  • No SDR experience required. We'll train you from the ground up. If you've done sales, recruiting, customer-facing work, or anything where you had to earn a stranger's attention, that counts.

  • You're comfortable on the phone and don't flinch at rejection.

  • Curiosity: you ask the second and third question, not just the first.

  • Work ethic and coachability. You take feedback and get better every week.

  • Organized enough to manage a high volume of activity without dropping threads.

  • Must be based in Toronto. This is a hybrid role, and Toronto is non-negotiable.

Bonus points

  • You're a cracked cold caller. You actually like picking up the phone and handle objections live. Tell us about your best call in your application.

  • Prior SDR or BDR experience.

  • Interest in AI, robotics, or technical B2B sales.

What we give you

  • A parallel dialer, so your outbound hours turn into real conversations instead of voicemails.

  • Training from the ground up on prospecting, cold calling, qualification, and discovery.

  • A front-row seat in one of the fastest-moving categories in tech: real-world data and robots for embodied AI.

  • Direct access to the GTM Lead and a clear path to grow into a closing role.

If you don't check every box above but believe you can do the job, we encourage you to apply - we're looking for capability and trajectory, not a perfect checklist match.

We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, we will partner with you to meet your needs.

We may use AI-assisted tools to help evaluate applications against the requirements of this role. These tools support our recruiting team in identifying qualified candidates but do not replace human judgment or limit which applications may be reviewed or considered.

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