A Startup Infrastructure Signal: Converge Scales Its Advertising Agent Platform in New York City

When a startup operating with a team of 13 opens a role for its first platform engineer, the posting can reveal how early-stage infrastructure decisions get made under real product pressure. The Converge listing is useful for startup readers because it combines a narrow hire with a broad system problem: scaling autonomous advertising agents for brands, managing daily budgets, and keeping a data-heavy platform responsive enough for customers.

Case frame: what the role is meant to cover

Converge builds agents that buy and scale ads for consumer brands like Hims & Hers. The company describes the agents as automating the growth engine by launching campaigns, scaling spend, learning from results, and producing new ads to close the loop. Today, the agents make over 90% of all budget changes in the ad account while managing $1M+ in daily budgets. The company also states that the agents learn from user feedback and search proactively for more work to automate.

The company is a team of 13, based in-person in New York City, and the new hire would be the first platform engineer. It reports $3M in ARR, serving 200+ customers, and $5.7M raised from Y Combinator, General Catalyst, and the founders of PostHog and Algolia. The posting also lists 4+ years experience, $180K to $240K salary, and 0.3% to 0.5% equity.

Data points behind the hiring signal

Signal	Reported detail
Product customer scale	$3M in ARR, 200+ customers
Capital raised	$5.7M from Y Combinator, General Catalyst, and the founders of PostHog and Algolia
Automation depth	agents make over 90% of all budget changes and manage $1M+ in daily budgets
Platform load	$6 billion annual revenue, 20 TB every month, 10,000 jobs / s at peak, and queries that join and aggregate 100s of GBs in seconds, real-time
Engineering context	team of 13, with 3 product engineers already operating the system
Role requirements	4+ years, $180K to $240K, 0.3% to 0.5% equity

Why a founding platform engineer is not a standard infrastructure job

Converge says it is looking for a founding engineer to own and build out the platform powering the agents. The organization is just 3 product engineers and already operates systems most companies don't touch until much later. The role is not positioned as a typical SRE, systems, or backend engineering job. The engineer is expected to drive their own roadmap, go deep on the hardest infrastructure and systems problems, and work with product engineers to ship product that scales to large consumer brands.

The posting also expects self-automation with AI. Coding agents are used for everything, including hillclimbing benchmarks, profiling queries, monitoring, debugging incidents, and writing code.

Example projects named in the posting

• Build services that can ingest up to a trillion jobs / month.
• Examine esoteric Clickhouse CPU and memory flamegraphs.
• Figure out how to materialize the attribution dataset to scale joining and aggregating billions of rows in realtime.
• Build a SQL dialect so agents can query data directly in Converge.

Common misconceptions about this startup hiring page

• It is not a remote role. The team works in-person from its New York City office, and the posting is for NYC.
• It is not an architecture-only role. The engineer will implement everything they design and should expect to be coding, a lot.
• It is not structured like a big tech program. The team works with daily and weekly timelines rather than multi-quarter migrations.
• It is not limited to one narrow tool. The expected strengths include Python, familiarity with more performant languages, databases across OLTP and OLAP, Postgres, Clickhouse, firsthand experience where data-heavy systems fall over, and pragmatic customer-minded thinking.

Compensation, benefits, and interview pace

The compensation line is Salary: $180K - $240K + equity: 0.3% - 0.5%. Private medical, dental, and vision insurance is included, along with pension and 401(k) contributions.

1. Intro call 15 min: Converge learns about motivations, determines why the candidate would be a great fit, and answers questions.
2. Founder chat 45 min: the founder dives into past experiences to learn what motivates the candidate and what it is like to work with them.
3. Technical 1h: the candidate and team work through a typical infrastructure problem faced at Converge.
4. Superday 1 day: the candidate joins for a day to build something, meet the team, and be evaluated by the team; the day is fully paid.

The process can be completed in 2 days. If a candidate wants to move quickly, Converge moves quickly too; its founding engineer was on a plane to meet the company just days after the first call.

Action advice for startup readers

For founders, the clearest lesson is to connect hiring scope to the platform’s visible load: $6 billion annual revenue, 20 TB every month, 10,000 jobs / s, 100s of GBs queried in seconds, and real-time requirements. For candidates, treat the fit warnings as a self-check: if you prefer remote work, architecture-only decisions, or multi-quarter migrations, this role may not match the stated expectations.

For operators watching early product teams, the page makes the constraints concrete: a small company, 3 product engineers already operating the system, and a first platform engineer expected to own both roadmap and implementation.

FAQ

What startup problem does Converge solve?

It builds agents that buy and scale ads for consumer brands like Hims & Hers, automating campaigns, spend, learning, and ad production.

What are the role basics?

4+ years experience, $180K to $240K, 0.3% to 0.5% equity, in-person in New York City, NYC.

How much product and financial scale is cited?

$3M in ARR, 200+ customers, $5.7M raised, $1M+ in daily budgets, over 90% of budget changes made by agents.

What technical areas are named?

Python, Postgres, Clickhouse, SQL, trillion jobs / month ingest, 100s of GBs in seconds, billions of rows in realtime, and self-automation with AI coding agents.

Read as a startup hiring artifact, the posting ties platform ownership to live advertising automation, a small team, explicit compensation terms, and a fast interview path rather than a conventional corporate engineering track.