Mecka AI Logo

Mecka AI

Sales Development Representative (Data Partnerships & Robotics)

Posted 3 Days Ago
Be an Early Applicant
Hybrid
Toronto, ON, CAN
Entry level
Hybrid
Toronto, ON, CAN
Entry level
Own top-of-funnel sales development across data partnerships and robotics deployments. Qualify inbound leads, conduct outbound cold calling and email outreach, research target accounts, run discovery calls, book qualified meetings, maintain accurate CRM records, and hand off opportunities. No prior SDR experience is required; training is provided. The role is hybrid and requires being based in Toronto.
The summary above was generated by AI
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 cold caller. You actually enjoy 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.

Similar Jobs

12 Minutes Ago
Hybrid
Hamilton, ON, CAN
Mid level
Mid level
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Delivers end-to-end employee experience across the employee lifecycle, including onboarding, payroll time-file submission, attendance governance, policy interpretation, HR systems support, escalations, and manager coaching. Drives knowledge-base improvements, process standardization, compliance, training, and continuous improvement while partnering with internal and external stakeholders. Requires HR generalist experience in a manufacturing environment and familiarity with HPWS, Lean Six Sigma, Total Productive Maintenance, and Kronos.
Top Skills: HpwsKronosLean Six SigmaTotal Productive Maintenance
12 Minutes Ago
Remote or Hybrid
East York, ON, CAN
Senior level
Senior level
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
The Senior Financial Analyst partners with plant leadership to drive financial performance through budgeting, forecasting, variance analysis, cost accounting, and month-end close activities. Responsibilities include managing labor spend, preparing management reports and performance review materials, costing new initiatives, identifying process improvements, automating reporting, and communicating financial results, risks, and opportunities to senior leaders. The role supports controls, compliance, operational decision-making, and continuous improvement in a manufacturing environment.
Top Skills: LeanExcelOracleSAPSix Sigma
23 Minutes Ago
Easy Apply
Remote or Hybrid
Canada
Easy Apply
Senior level
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead the design and implementation of AI products for edge devices, optimizing machine learning models under edge-compute constraints. Work with petabyte-scale sensor, video, text, diagnostic, transaction, and location data; collaborate with ML, firmware, hardware, and full-stack engineers; prototype new AI experiences; ship production systems at scale; and mentor ML engineers.
Top Skills: C++Computer VisionEdge AiIotMachine LearningPythonRust

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account