Email Deliverability Engineer at Salesforge · Remote only · 2 - 15 years · Raised funding · Remote only · Posted 29 Oct 2026
Salesforge builds cold email infrastructure: Salesforge, Mailforge, Infraforge, Primeforge and Warmforge. We're hiring an Email Deliverability Engineer to own deliverability across the whole product suite.
What you'll do
- Own all deliverability topics end to end: inbox placement, sender reputation, bounces, blocks and spam folder issues
- Manage our sending IPs: pools, warmup, rotation, reputation monitoring and blocklist remediation
- Run and tune our mail server stack (Postfix, Exim, Dovecot) on Linux
- Investigate client accounts with deliverability problems, find root causes and drive fixes with the customer and our support team
- Configure and audit email authentication: SPF, DKIM, DMARC, rDNS, MX
- Monitor mailbox provider signals (Google Postmaster Tools, Microsoft SNDS, feedback loops) and react before issues reach customers
- Work with backend engineers on tooling, alerting and automation for deliverability
What we're looking for
- 2+ years hands-on with email infrastructure or deliverability
- Strong Dovecot experience (must have), plus Postfix and/or Exim
- Deep understanding of SMTP, DNS and email authentication
- Comfortable on Linux servers: reading mail logs, debugging delivery, scripting
- Experience with IP warmup, blocklist delisting and reputation management
- Investigative mindset: you enjoy digging through logs and headers to find why mail isn't landing
Nice to have
- Background at an ESP or cold email / sales engagement platform
- Experience with PowerMTA, KumoMTA or similar MTAs
- Python, Go or Bash for automation
Why join
- Fully remote, with at least 4 hours overlap with GMT+3
- Own a business-critical area across five products
- Small, fast team working directly with the CTO
Shubham Vishwakarma
Full Stack Developer - Averlon
About Salesforge
About
Salesforge is building the operating system for modern outbound sales.
Instead of companies stitching together dozens of disconnected tools for prospecting, email infrastructure, deliverability, outreach, LinkedIn, AI and reply management, we're building the entire stack ourselves — as one connected ecosystem.
The Forge Stack covers the complete journey from identifying a potential customer to booking a meeting:
Leadsforge is our AI-powered prospecting engine, searching across hundreds of millions of contacts to discover, enrich and qualify the right people and companies.
Mailforge provides distributed email infrastructure at scale, while Infraforge gives sophisticated senders their own private infrastructure and dedicated IPs.
Primeforge provisions and manages Google Workspace and Microsoft 365 mailboxes at scale.
Warmforge is our deliverability layer — warming mailboxes, monitoring sender reputation, testing inbox placement and helping keep outbound infrastructure healthy.
Salesforge is the command center where everything comes together. Teams build sophisticated multichannel sequences across email and LinkedIn, personalize outreach with AI, manage thousands of senders, handle conversations and turn replies into pipeline.
And on top of the entire stack sits Agent Frank, our autonomous AI SDR. Frank can find prospects, research them, create personalized outreach, follow up, manage conversations and work toward booking meetings — using the infrastructure and products underneath him.
We're not building another SaaS dashboard.
We're building a deeply interconnected system spanning large-scale email infrastructure, distributed systems, data enrichment, search, deliverability, automation, multichannel communication and autonomous AI agents.
For engineers, that means working on problems where software interacts with millions of real-world entities, external providers and constantly changing systems — and where reliability, scale and speed actually matter.
If you want to build products where AI meets serious infrastructure, and see what you build used directly to generate revenue for companies around the world, Salesforge is a pretty exciting place to do it.
Tech stack
Go Programming (Golang)
PostgreSQL
Amazon Web Services (AWS)
KubernetesCompany video
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Employment Type: Full-Time
Job Summary
We are looking for an Email Marketing & Data Mining Executive who can generate relevant B2B leads, build and maintain prospect databases, and execute effective email marketing campaigns for our IT services.
Key Responsibilities
- Identify and collect relevant B2B leads and prospect data using LinkedIn, Google, company websites, and other platforms.
- Perform data mining, web research, and lead generation based on defined target industries and profiles.
- Maintain and update accurate databases of prospects, companies, decision-makers, and contact information.
- Create, manage, and execute email marketing campaigns.
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- Track open rates, click rates, bounce rates, and responses.
- Follow up with prospects and coordinate with the BDE/Sales team for qualified leads.
- Ensure data accuracy, email validation, and proper database management.
- Research competitors, industries, and potential target accounts.
Required Skills
- Good knowledge of Email Marketing & Lead Generation
- Experience in Data Mining / Web Research
- Good knowledge of LinkedIn and Google search
- Familiarity with tools such as Apollo, Snov.io, Hunter, LinkedIn Sales Navigator, etc.
- Basic knowledge of Excel/Google Sheets
- Good written and verbal communication skills
- Ability to research and identify the right target audience
- Strong attention to detail
Good to Have
- Experience in IT/Software B2B lead generation
- Knowledge of CRM tools
- Basic understanding of email marketing platforms and campaign analytics
- Knowledge of email verification and database enrichment tools
Python
DjangoPostgreSQLWe're hiring Drumbeat's first Senior Product Engineer to help us go to the next level.
We're not first-timers. We're the team that founded Phrasee in 2015 and grew it to more than 100 people, customers around the world, and a >$100m exit. Lots of people made lots of money, including the founding employees.
With Drumbeat, our plan is to do it all again… except this time, bigger and faster.
What is Drumbeat?
Drumbeat (www.drumbeat.com) predicts your next best action on LinkedIn, then copilots your team to turn invites, DMs and posts into pipeline.
We launched in September 2025 and have raised a £2m seed round led by a well-known VC. We're building the core team around our cofounders (Parry, Jonny and Dan) and Mohit, our Engineering Manager and Phrasee's first engineer. You'll report to Mohit.
What you'll be building on
- Setlist: a short, ordered list of the right things for each person to do today.
- Radar: predicts who each rep should connect with now, not everybody who matches a job-title search.
- Riff and AuthorDNA: help people find something worth saying, and write it in their own voice.
- Campaigns, Conversations, Backstage and Analytics: team-wide activity, replies, company knowledge and reporting.
Under the hood: Django and PostgreSQL, background jobs on Redis, LLM workflows, statistical models that learn what works, and integrations with LinkedIn and CRMs. A lot of our code is written with AI coding agents, inside a strict engineering process.
How we think about engineering
- "Human-first AI, not AI-first humans." AI agents write a lot of our code. They don't make our decisions. We want someone super smart without AI, and even smarter with it, who knows when the machine is blowing smoke.
- "Spend 55 minutes on the problem." Understand what's actually wrong before you fix it.
- "Fix the class, not the instance." Every bug is an example of something bigger. Find the pattern, and fix it everywhere it lives.
- "A check must be able to fail." A test you've never seen go red proves nothing.
- "You don't need a Ferrari to drive to the supermarket." Simplicity over cleverness, every time.
What you'll own
- Technical architecture. How Drumbeat is built, so it holds up as we add customers, features and integrations.
- Shipping features end to end. From Parry and Mohit's briefs, and turning Parry's MVPs into production features.
- Foundations. Scale, resilience (safe retries, timeouts and fallbacks when outside services wobble), cost and refactoring.
- What you build. Once it's live, it's yours: you maintain it and fix it.
- The hardest bugs. The ones nobody else can crack.
Your experience
- 8+ years as an engineer, at a product company, preferably B2B SaaS.
- Time at a smaller company, so you know how to get stuck in.
- You've owned a system in production, not just added features to one.
- Senior Python and Django: Postgres, background jobs, correctness in production.
- System architecture and refactoring.
- You direct AI coding agents well, and explain trade-offs in plain English to people who aren't engineers.
Where you'll work
Delhi / NCR. You'll be in our Delhi office some days each week, alongside Mohit.
Pay
₹40–65 lakh CTC, plus equity that vests as the company hits revenue milestones.
This is probably not a job for most people. Don't apply if you want an easy job. Apply if you want a hard one: lots of responsibility, very little bureaucracy, plenty to figure out, and a genuine chance to shape what this company becomes… and make a bunch of money as a result.
If that sounds exciting, LET'S PARTY.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon