Sales Development Representative - AI Compute

LOD Technologies Inc. · Remote · US

Base: $70K–$90K
OTE: Not disclosed
Quota attainment: Not disclosed
Posted: 4d ago

Why it matters: OTE tells you what you could earn. Attainment tells you how realistic it is.

Ask: “What percentage of fully ramped reps hit quota last year?”

Still open · checked 1h agoon LOD Technologies Inc.'s careers page

Apply on LOD Technologies Inc. →

The job

Who you'd sell to: AI-native startups, inference-heavy SaaS, enterprises scaling AI, model labs · AI and machine learningIn their words: “Build and manage a target account list across AI-native startups, inference-heavy SaaS companies, enterprises scaling AI, model labs, and training and fine-tuning teams.”
Where deals come from: Mostly you. Expect a lot of outbound: cold calls, emails and LinkedIn.

The Braun Read

Ask hard questions

Too much is left unsaid. Make them answer before you invest.

Pay: Base is listed but not OTE. Ask what the variable is and how many people hit it.
Transparency: Says nothing about quota, attainment, deal size, territory or sales cycle.
Pipeline: Mostly self-sourced. Great if you like outbound, rough if you don't.
Time on market: Open 4 days.
Company hiring: This is their only open sales role.

Based only on what the posting says. Lights are a starting point for your first call, not a final judgment.

Questions to ask on the first call

Built from what this posting leaves out. How they answer tells you as much as what they say.

1.
What percentage of fully ramped reps hit quota last year?
OTE is what you could earn. This is how likely you are to earn it.
2.
What percentage of reps on the team have been here more than 18 months?
Tenure shows whether people stay long enough to get paid.
3.
Has the comp plan changed in the last 12 to 18 months? What changed?
A plan that changes every year means the goalposts keep moving.
4.
Who sits with reps and reviews calls each week?
Coaching is often what's behind a good or bad attainment number.
5.
What's the OTE, and what did the median rep earn last year?
Base is what you're guaranteed. OTE and the median show the upside.
6.
Why is this role open? Did someone leave, or is it new?
New headcount is growth. A replacement means someone left. Ask why.

› When the offer comes

Save these for later. They land better once they've said yes to you.

1.
Can I see the full comp plan in writing, including clawbacks and accelerators?
What's in writing is what gets paid. Read it before you sign.
2.
Can I see the actual comp distribution for the team last year, not just the OTE?
The spread shows what most reps really take home. OTE is just the target.
3.
I'd be walking away from earned commission to join. Is there room for a sign-on bonus to help cover that?
Leaving money behind is a fair reason to ask. The worst answer is no.

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Full posting

We are hiring a Sales Development Representative to build pipeline with AI compute buyers, including companies consuming tokens through model APIs and teams deploying their own GPUs. You will be the first point of contact for these accounts. You will generate and qualify opportunities through outbound and in-person events, then partner with the deal team through close. Responsibilities Build and manage a target account list across AI-native startups, inference-heavy SaaS companies, enterprises scaling AI, model labs, and training and fine-tuning teams. Run personalized, multi-channel outbound across email, LinkedIn, phone, and referrals. Qualify opportunities on workload type, GPU requirements, token volume, latency and region, timeline, contract term, and budget. Represent LōD at Bay Area AI and infrastructure events and convert event conversations into meetings. Monitor market signals such as funding rounds, hiring activity, and capacity constraints to prioritize outreach. Hand off qualified opportunities to the deal team and support them through close. Maintain accurate CRM records and share buyer feedback with product and leadership. Travel regularly within the Bay Area and occasionally to US conferences. Requirements - 1 to 3 years of experience in sales development, business development, solutions, or a customer-facing technical role. - Background in business, computer science, engineering, or a related field. - Working knowledge of AI compute, including training and inference workloads, GPU selection, token-based API pricing, and how buyers evaluate GPU cloud providers. - Strong written and verbal communication skills. - Comfortable networking in person and representing the company at events. - Self-directed and able to manage your own pipeline in a remote environment. - Based in the San Francisco Bay Area and authorized to work in the US. Preferred Qualifications - Experience at a GPU cloud, neocloud, inference provider, or model API company. - Familiarity with current GPU generations, including H100, H200, B200, and B300. - Understanding of GPU cloud commercial models: on-demand, reserved, dedicated clusters, and serverless inference. - An established network in the Bay Area AI ecosystem. - Hands-on experience with model APIs, inference platforms, or cloud GPU instances. - Proficiency with HubSpot, Apollo, LinkedIn Sales Navigator, or similar tools. Benefits Base Salary : $70,000 - $90,000 + On-target earnings (OTE) Equity Event and travel budget Benefits: health, dental, vision, PTO

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