Revenue Operations Manager

About Us

Sameday AI is hyper-growth B2B SaaS company with a down‑to‑earth customer base and a culture that values ownership, clarity, and iteration. We’re building a high‑leverage Revenue Operations function to power predictable growth across Marketing, Sales, and Customer teams.

The Role

As our Revenue Operations Manager (Mid‑Level), you’ll be the hands‑on systems owner and process optimizer for our go‑to‑market engine. You will partner daily with Marketing and Sales, collaborate closely with our CEO on growth experiments and board‑level metrics, and run a tight ship on data, tooling, and reporting. This is an execution‑heavy role for a technically strong operator who knows B2B SaaS best practices and how to translate them into working systems—especially in HubSpot Enterprise.

What You’ll Do

Own GTM systems & data

Serve as primary admin for HubSpot Enterprise Suite (Sales/Marketing/Ops), including: lifecycle stages, pipelines, custom objects, data model design, workflows/automation, lead scoring, routing, validation rules, permissions/teams, sandboxes, and reporting.

Build and maintain data quality: normalization, deduplication, enrichment, UTM governance, field standards, and change‑management/version control for workflows.

Operationalize pipeline & funnel

Define and enforce lead management from inbound and outbound (MQL → SAL → SQL → Opportunity → Closed Won/Lost) with clear SLAs and feedback loops for SDRs/AEs.

Implement territory models, lead/account ownership, and capacity planning; administer routing rules and fallbacks.

Improve forecasting accuracy and pipeline hygiene; standardize stages, exit criteria, and next‑step expectations.

Instrumentation & analytics

Build executive and team dashboards (conversion rates, velocity, win rates, cohort retention/expansion, CAC/LTV, campaign ROI).

Partner with Marketing to implement attribution (multi‑touch and campaign/UTM standards) and experiment design (A/B testing, holdouts).

Outbound & enrichment at scale

Operationalize outbound prospecting using Clay and Apollo (list building, enrichment, sequencing, health checks, routing into HubSpot with governance).

Evaluate data suppliers and enrichment rules to maintain high precision and low spam risk.

Integration & automation

Integrate GTM stack tools and product usage data into HubSpot (webhooks, APIs, native connectors).

Build automations for repetitive tasks; where helpful, script lightweight data transformations. Python skills are a strong plus.

Enablement & change management

Document processes (SOPs), run playbook reviews, and deliver training for Sales/Marketing.

Translate exec priorities into operational work—clear specs, timelines, and measurable outcomes.

Compliance & governance

Embed consent, opt‑out, and regional requirements (e.g., CAN‑SPAM/CCPA/GDPR where applicable) into forms, sequences, and data retention policies.

Within Your First 90 Days, You Will

Map & stabilize our GTM data model in HubSpot Enterprise; publish lifecycle definitions and SLAs.

Ship dashboards for execs and frontline teams: funnel conversion, time‑to‑first‑touch, pipeline coverage, forecast rollups.

Stand up outbound ops with Clay + Apollo feeding governed, de‑duplicated records into HubSpot with routing and sequence QA.

Reduce data debt (dedupe, normalize key fields, UTM discipline, required fields at stage changes).

Create an experiment backlog with Marketing/CEO and a 2‑quarter RevOps roadmap.

What Success Looks Like (KPIs)

Lead response time to < 5 minutes for inbound during business hours.

MQL→SQL conversion rate improved by 25–50% vs. baseline.

Forecast accuracy within ±10% by month 3–4.

Data completeness: < 2% missing on required ICP fields; duplicate rate < 1%.

Pipeline hygiene: 95% opportunities with next step & close date; stale stage reduction by 50%.

Attribution: standardized UTM usage on 95% of qualified inbound opportunities.

What You Bring

Must‑haves

3–6 years in Revenue/Ops, Sales Ops, or Marketing Ops within B2B S