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Careers

We're preserving the future of tech, one talented individual at a time.

Uncle Sam pickle on the beach.

Join the jar and become part of something truly dill-icious!

Finance Person

Cape Town, South Africa

You will be doing finance-ey finance stuff. Like with numbers and accounts yo.
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REQ-1355Hiring Now
REQ_NO: Extra Briny

Customer Facing Human

Cape Town, South Africa

You will be the human touch in an AI run world. When everyone is running around to stock up on guns, toilet paper and pickles, you will be calming partners down and helping them through the storm.
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REQ-2003Hiring Now
REQ_NO: Barrel Aged

DevOps Engineer

Cape Town, South Africa

Be the brine that keeps Solenya's AI systems crisp. Architect scalable environments, maintain CI/CD pipelines, and optimize our AI model deployments.
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REQ-1438Hiring Now

Machine Learning Engineer

Cape Town, South Africa

Engineer solutions that are the perfect blend of sour and sweet. You'll be fermenting ideas into robust AI systems that pack a real punch!
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REQ-2386Hiring Now

Front-end Engineer

Cape Town, South Africa

Craft web experiences that are as delightful as they are functional. Build atomic design systems, optimize performance, and create highly usable and discoverable interfaces.
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REQ-1722Hiring Now

Machine Learning Researcher

Cape Town, South Africa

Dive deep into the brine of AI algorithms. You'll be pickling your brain with cutting-edge research and crunching through data faster than you can say 'dill-icious'!
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REQ-2601Hiring Now
REQ_NO: Jar Sealed

Don't see a position that fits? Send your github to:

apiVersion: v1
kind: Secret
metadata:
  name: careers
type: Opaque
data:
  email-address: Y2FyZWVyc0Bzb2xlbnlhLmFp

and tell us how you can spice up our team!

Blogs

Open-notebook research. Methods, confidence intervals, and the experiments that didn't work.

HOT JAR
Beyond Average Revenue: A Four-Part Decomposition for Measuring Discovery Experiments

Beyond Average Revenue: A Four-Part Decomposition for Measuring Discovery Experiments

May 6, 2026
FREE$67.99

Mean revenue is a noisy metric for A/B tests in e-commerce - it conflates purchase probability, visit frequency, and basket size into a single estimand. We decompose them, fit each with an appropriate GLM, and embed the result inside a 2² factorial design to measure two platform features simultaneously. The approach recovers clean per-feature estimates even under a confounded allocation mechanism.

SpicyArtisanal
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SOL-BRN-024In Stock · 12 min read

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