Remote Sales Jobs Selling AI, Crypto and Developer Tools (AE, SDR, BD)
TL;DR
- Enterprise AE roles at AI and developer tools companies often list $250,000 to $350,000 OTE on RepVue, while SDR roles usually land between $70,000 and $100,000.
- Sales engineers sit between demo and integration. You need enough technical depth to answer model, API, security, and data residency questions.
- Web3 buyers move in Discord and Telegram. They care about custody, token mechanics, ecosystem alignment, and long-term credibility.
- Hiring managers screen for quota history, discovery ability, and whether you can discuss technical tradeoffs without a canned pitch.
- This guide covers AE, SDR, BD, and solutions engineer paths.
The Short Answer
Remote sales jobs at AI, Web3, and developer tools companies split into four common paths: SDR/BDR, account executive, solutions engineer, and business development or partnerships. The work is remote, but it is not passive. You spend most of the day on calls, writing follow-ups, researching buyers, or preparing technical answers. According to the U.S. Bureau of Labor Statistics, sales representatives selling technical and scientific products had a median annual wage of $104,920 in May 2025, but quota-heavy tech roles often pay far above that through on-target earnings.
| Role | Core focus | Typical U.S. OTE range |
|---|---|---|
| SDR / BDR | First conversations, account research, booking qualified meetings | $70,000 to $100,000 |
| Account executive | Running the deal cycle from discovery to close | $140,000 to $350,000 by segment |
| Solutions engineer | Technical demos, proof of concept, security and integration questions | $150,000 to $250,000 |
| Business development / partnerships | Channels, integrations, referral programs, ecosystem deals | $150,000 to $300,000 |
Figures reflect U.S. public compensation data reviewed on RepVue and Glassdoor in early 2025. Ranges vary by region, company stage, and quota. OTE is base plus expected commission if you hit full quota, not a guaranteed salary.
What the Role Actually Involves Day to Day
SDRs do account research, cold calls, short emails, and follow-up messages. In these industries, a good SDR reads docs, release notes, or community threads before writing the first message. The goal is a specific reason to talk, not just another meeting.
Account executives own the cycle after a real conversation starts. They run discovery, coordinate demos, send pricing and security documents, build a mutual close plan, and negotiate terms. At AI and developer tools companies, an AE may sell to a VP of engineering, a CTO, or a head of data. Enterprise deals can involve procurement, security review, and legal. Forecasting is part of the job.
Solutions engineers do the technical close. You might run a working demo, answer questions about API limits, data retention, SOC 2, deployment models, or model evaluation. In crypto, a solutions engineer might explain how a wallet integration works, what data goes onchain, or how an RPC endpoint behaves under load. This role suits people who like solving problems live with buyers.
Business development and partnerships work with other companies, not just end buyers. You may recruit integration partners, run a channel program, design referral motions, or work with foundations and protocols. Many of these jobs sit under business development and partnerships roles. In Web3, partnership work can involve grants, governance delegates, and ecosystem funds.
Selling into Web3 feels different from standard SaaS. Buyers often expect you to be reachable in Discord or Telegram. They ask about who controls keys, what is public onchain, and whether your product supports the ecosystems they care about. You do not need to be a protocol expert, but you need to be able to explain basic tradeoffs. For open roles in that industry, browse remote Web3 jobs.
For people separating this from non-sales work, AI Trainer Jobs Explained: The Work, the Pay and the Companies Behind It covers a different category.
What You Need to Break In (Skills, Portfolio, Experience)
For SDR roles, hiring managers look for concise writing, phone confidence, and repeatable follow-up. You should be able to read a company's public product pages and turn that into a relevant opening message. Experience in support, recruiting, or account coordination can transfer if you can show steady outreach habits.
For AE roles, the core evidence is quota history. Bring a one page deal resume with your quota, attainment, average deal size, cycle length, and best win or loss. Hiring managers want to hear why a deal moved or stalled. They also screen for discovery ability. You should be able to ask what changed, who owns the problem, and how the team buys.
For solutions engineer roles, you need technical credibility. You might come from support, QA, data, developer advocacy, or engineering. You do not necessarily write code daily, but you should be comfortable reading API docs, running small tests, and explaining tradeoffs without fluff. The interview may include a mock demo where the panel asks about deployment, security, or model output quality.
For business development and partnerships, hiring managers screen for partner economics and execution. You need to understand why a partner would spend time on an integration, what revenue or distribution is shared, and how to keep a partnership from dying after a launch announcement.
A sales portfolio is not a GitHub. It is a short document with numbers and stories: one deal won, one deal lost, and what you would do differently. If you come from a technical background and want to compare expectations, Remote AI Engineer Jobs: What Teams Building With LLMs Actually Hire For shows the engineering side of the same market.
Common Mistakes People Make Here
One mistake is judging a job by OTE alone. Base salary matters because OTE assumes full quota. A $200,000 OTE only works if the team hits quota. According to RepVue, quota attainment varies widely by organization. Ask the hiring manager what percentage of reps hit quota last quarter and what happens to reps who miss.
Another mistake is sending the same pitch to every company. AI and developer tools buyers can tell when you have not read their docs. An SDR email that says "I noticed you use X" but names the wrong product loses trust immediately.
Treating Web3 buyers like general SaaS buyers also fails. Community, security, and long-term alignment matter more than a polished cold deck. You need to know the difference between custodial and non-custodial setups if you are selling wallet products, for example.
Ignoring security and compliance questions is another common problem. AI buyers ask about data retention and model training. Crypto buyers ask about key management and region-specific rules. If you cannot handle the first few technical questions, the deal stalls.
Applying to stale listings wastes time. A focused board with fresh listings helps, but you should still learn the signs of a listing that is not actually hiring. That is covered in Ghost Jobs: How to Tell If a Listing Is Actually Hiring.
If you are weighing sales against a technical path, Remote Software Engineer Jobs: How to Stand Out at AI, Web3 and Dev-Tools Companies describes what engineering hiring managers look for.
Where to Actually Find These Roles
Start with a focused board that lets you filter by industry and department. There are thousands of remote and global job listings, but a broad jobs site makes you scroll through unrelated work. For AI companies specifically, browse remote AI jobs. Before applying, check which companies are hiring to compare recent activity and focus your list.
When you are ready, browse remote sales jobs on JobsBoard. You can also match your resume to live roles for free to see how your background maps to current openings.
