Life at Trivas in 2025: What It's Actually Like to Work Here
by Trivas.ai
|
6 min read
Sep 30, 2026
What This Page Actually Covers
This isn't a recruiting brochure. It's an honest rundown of life at Trivas in 2025, written by people who actually work here, not a marketing team dressing up an empty office.
Quick context if you landed here without knowing us: Trivas builds ecommerce analytics and automation software on top of Amazon Redshift. Dashboards for Amazon, Shopify, Meta and Google ads, GA4 funnels. An AI layer called Wingman that surfaces insights. Forecasting tools that actually get used, not just demoed. That's the product. This page is about the people building it.
Right now we're a small team, growing but not sprinting to headcount targets for the sake of it. Mostly remote, with a few clusters in shared cities. Hiring is steady, not frantic. If you're checking this page to figure out whether life at Trivas fits how you want to work, here's what you need to know.
How the Team Is Structured
Four functions make up most of the company: engineering, data, product, and go-to-market. On a platform built on Redshift, the lines between engineering and data blur fast. Someone writing pipeline logic today might be reviewing a dashboard spec tomorrow.
Work happens in small, cross-functional pods rather than big departmental silos. A pod building out the Wingman insight layer usually has one or two engineers, a data person who understands the underlying query logic, and someone from product keeping the feature tied to what customers actually asked for. Forecasting tools get built the same way. Nobody waits three weeks for a handoff between teams because there aren't really separate teams in the way a bigger company would define them.
We're remote-first. A few people work from the same city and grab a desk together sometimes, but there's no headquarters everyone's expected to show up to. Working hours are flexible, with one catch: pods need a real overlap window, usually a four-hour stretch, to keep decisions moving. If your timezone makes that impossible, it comes up in the interview process early, not after you've signed an offer.
What We Actually Value Day to Day
Communication here is blunt. Not rude, just direct. If a piece of code isn't ready, someone says "this isn't ready, here's why" instead of "have we considered some alternative approaches." Decisions get made in the meeting, not three meetings later.
Shipping matters more than talking about shipping. We don't chase vague "efficiency" wins. We track things like reporting time going from three hours to twenty minutes for a customer, because that's a number you can actually point to. If a feature doesn't move a real metric, it doesn't ship just because someone spent two weeks on it.
Ownership runs deeper than most SaaS companies claim it does. Engineers and analysts here talk to customers directly, the ones actually staring at the dashboards every morning. It's not routed through three layers of account management first. If a customer says a chart is confusing, the person who built that chart usually hears it firsthand.
A Typical Week (By Role Type)
An engineer's week starts with sprint planning on Monday, short and specific, no theater. Most of the week is writing code and reviewing someone else's. Code that's ready ships to production that week, not the next release cycle. There's no separate "innovation time" carved out. The interesting problems show up inside the regular work.
Someone in data or analytics spends more time inside Redshift pipelines than you'd expect for a role with "analytics" in the title. A lot of the week is spent making sure dashboard logic matches what a customer actually means by a metric, not just what's technically correct. Debugging a pipeline and debugging a definition mismatch happen in the same afternoon, often back to back.
Go-to-market folks split their week between customer calls, onboarding support, and closing the loop back to product. If three customers in one week ask the same question about a forecasting number, that gets flagged to the pod building it, not filed away in a CRM note nobody reads.
Benefits and Perks Worth Mentioning
We'll skip the "great culture" language and just list what's actually offered. Health coverage is provided for full-time employees. PTO isn't unlimited-on-paper-only, it's a real policy people are expected to use, and do. There's an equipment stipend for setting up a proper home workspace, monitor, chair, whatever you need to actually do the job.
Remote flexibility is real, not a talking point. As long as you're inside your pod's overlap window, nobody's tracking hours logged or clocking green dots on a status app. Work gets judged by what shipped, not by how long someone was technically online.
We're not going to pad this list with things like "casual dress code" or "fun team culture," because those aren't benefits, they're filler. What's above is what's actually offered, no more.
Who Tends to Do Well Here
People who like ambiguity do well. Roadmaps here shift when new customer feedback comes in, and if you need a fully locked spec before you can start work, this pace will frustrate you.
Curiosity about ecommerce data helps a lot. We work with DTC brands and agencies who live inside Shopify and Amazon numbers every day, so someone who actually finds ad spend curves or funnel drop-off interesting is going to enjoy this more than someone who just wants to write clean code in a vacuum.
The people who struggle here are usually the ones who wait for perfect information before acting. There isn't time for six rounds of "let's align" before a decision gets made. If you want to know more about who's steering that pace day to day, the leadership team page has details on who runs what.
How Hiring Works and Where to Apply
The process is short by design. An intro call to check basic fit and answer questions honestly. A technical or skills round specific to the role, real work, not abstract puzzles. Then a team interview with the actual pod you'd be joining, since they're the ones who'll be working with you day to day.
We don't run people through five rounds just to look thorough. If it's a fit, we move fast. If it's not, we'll tell you why instead of ghosting.
For specifics on which roles are open right now, team, location, and what each one actually needs, check open positions. Come prepared to talk through real examples of work you've done, not just describe your resume back to us.
See Open Roles and Meet the Team
If any of this sounds like a place you'd want to work, go look at what's currently open. Roles change as the team grows, so what's listed today might look different in a few months.
And if you've got questions this page didn't answer, that's what a quick call or an email is for. This page will keep getting updated as the team changes and the roles evolve, so check back if you're not ready to apply yet but want to keep an eye on things.
Content author and contributor at Trivas.ai, sharing insights on e-commerce analytics, business intelligence, and data-driven strategies to help businesses grow.
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