About OnebyZero

Our vision is simple while at the same time ambitious: to make AI adoption both impactful and human-centered. We collaborate with leading enterprises in banking, telecommunications, retail, and other industries to help them unlock tangible value from their data and AI initiatives. By combining deep industry expertise, trusted partnerships, and a relentless focus on outcomes, OnebyZero empowers organizations to go beyond pilots and achieve lasting, scaled impact

About the Role

This is a hands-on execution role for someone with strong sales operations instincts and an analytical mindset — pipeline tracking, data hygiene, deal insights, forecasting support, and process efficiency. The role also provides operational support to partnership and alliance initiatives as a secondary responsibility. The ideal candidate is not just a tracker but a thinker — someone who can look at pipeline data and tell a story about
what's
happening,
what's
at risk, and where the opportunities are

What You'll Do & The Impact You'll Have

• 
  Own and
  maintain
  the sales pipeline tracker — ensuring accuracy, completeness, and CRM hygiene
  at all times
  .

• 
  Support weekly sales cadence by collecting pipeline updates, tracking lead status and stage progression, and flagging stale deals or data gaps.

• 
  Prepare weekly and monthly pipeline reports, forecast summaries, and conversion analyses for sales leadership.

• 
  Coordinate across sales, presales, and delivery teams to ensure data accuracy and alignment.

• 
  Build and
  maintain
  dashboards that give clear visibility into pipeline health, win rates, and deal velocity.

• 
  Work in close coordination with the Partnership Ops team to ensure all active deals are accurately and consistently reflected at both ends — no discrepancies between CRM and AWS Partner Central (ACE) entries.

• 
  Go beyond tracking —
  analyze
  pipeline data to surface meaningful insights on deal health, stage progression, and likelihood to close.
• 
  Identify
  patterns in won/lost deals and provide actionable commentary to help the sales team course correct.

• 
  Flag deals that are at risk due to inactivity, missed follow-ups, or unusual stage durations, and escalate proactively.

• 
  Provide
  deal-level insights to sales managers — highlighting which deals need attention, which are moving well, and where bottlenecks exist.

• 
  Support opportunity reviews and QBRs with structured data analysis and clear visualizations.

• 
  Build simple scoring or prioritization frameworks to help the sales team focus on the right deals at the right time.

• 
  Track and
  analyze
  leading indicators (meeting activity, proposal submissions, response times) alongside pipeline metrics.

• 
  Sales Reporting & Analysis

• 
  Produce regular sales performance reports (pipeline coverage, conversion rates, deal aging, team activity).

• 
  Assist
  in quota tracking and attainment reporting.

• 
  Prepare clear, concise summaries and visualizations for weekly sales reviews and leadership updates.

• 
  Support ad hoc analysis requests from sales leadership (e.g., segment performance, campaign ROI, lead source analysis).

• 
  Translate data into plain-language narratives that non-technical stakeholders can act on.

• 
  Identify
  repetitive manual processes across sales operations and implement simple automation solutions.

• 
  Build and
  maintain
  automated trackers, dashboards, and workflows.

• 
  Automate routine reporting (weekly pipeline updates, conversion metrics, activity summaries).

• 
  Continuously improve data collection and reporting processes to improve accuracy and turnaround time.

• 
  Support planning and execution of enablement sessions for sales teams on internal tools, processes, and programs.

• 
  Prepare easy-to-understand summaries, cheat sheets, and process guides for sales teams.

• 
  Track participation, feedback, and effectiveness of sessions

• 
  Assist
  with day-to-day management of AWS Partner Central and ACE (AWS Customer Engagements) entries.

• 
  Maintain
  trackers for funding applications (PoC, MDF, etc.) and ensure status logs are up to date.

• 
  Support certification tracking across teams — sending reminders and following up on completion targets.

• 
  Assist
  in compiling inputs for the AWS Partner Overview Deck, Marketplace listings, and SDP submissions.

• 
  Maintain a central repository of partnership-related documents, case studies, and credentials.

Requirements

What You'll Bring to the Table

Must-Have Skills:

• 
  1–3 years of experience in sales operations, revenue operations, business analysis, or CRM management roles.

• 
  Strong
  proficiency
  in Excel or Google Sheets — pivot tables, dashboards, and data cleaning are must-haves.

• 
  Experience
  maintaining
  CRM data (Salesforce, HubSpot, or similar).

• 
  Analytical mindset — able to look at pipeline data and draw meaningful, actionable conclusions.

• 
  Comfortable building simple frameworks, scorecards, or prioritization models to support sales decision-making.

• 
  Attention to detail with the ability to manage multiple trackers and reporting cycles simultaneously.

Interpersonal
Skills:

• 
  High reliability: Consistently follows through on tasks and deadlines without needing to be chased.

• 
  Proactive communication: Flags risks and gaps before they become problems.

• 
  Structured thinking: Brings order and clarity to messy data and processes.

• 
  Storytelling with data: Can translate numbers into clear narratives that drive action.

• 
  Team coordination: Works effectively across sales, finance, delivery, and partnership stakeholders.

• 
  Ownership mentality: Takes responsibility for outcomes, not just activities.

Ideal Candidate Profile

• 
  Early-career professional looking to grow in sales operations, revenue operations, or business analytics.

• 
  Data-driven and insight-oriented — not satisfied with just reporting numbers, wants to explain what they mean.

• 
  Comfortable working cross-functionally and managing multiple stakeholders.

• 
  Interested in cloud/tech ecosystems and open to expanding into partnership operations over time.
• 
  Thinks like an analyst, executes like an operator.